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1. Historical points have been process cLast point is not out of control Last point is not remark Final points have been processed Stand alone Version 4 2 0 234 Quick data collection and smart data analysis moe 1 6 2 Selected Basket Selected Basket is for users to analyze multiple control charts at the same time or store the control charts temporarily while setting a Open the Selected Basket Select any control chart click the icon of Data Operation gt Add to the Selected Basket this control chart will be added to Selected Basket which is placed at the bottom of the operation interface b Add control chart to the Selected Basket Double click the control chart which needs to be add to the Selected Basket it will be added to the Selected Basket c Remove control chart from Selected Basket Double click the control chart on the Selected Basket it will be removed from the Selected Basket QSmart SPC Monitor a Basic Data Manipulation Chart view Summary Report Authority System Settings Support Help Se goa s dl Level Type Definition CTQs Definition Defect Definition Defect Grouping COM Port Settings Control Chart Settings Batch Control Chart Settings Basic Information Defect Information Serial Port Settings Chart Settings Control Group List Chart Path Product Blade Product No CTOs Chart Type Sample size Product Shift Machine Supplier USL Target value LSL Tests Updat
2. f Setting of Chart level info The aim of setting the chart level info is to mark the control chart or data point in the chart hierarchically making users get to know the level type that every control chart or data point belongs to Chart level info click the button of Set behind the setting of Chart Level Info and enter the window below If users need to set the Chart Level Info please select the corresponding level type Meanwhile user can select the value of the corresponding level info or directly l input its content as well m Chart Settings Control Chart List oY oK O Control Group Product Blade Cover Blade Chart Types XR v P add a Delete D E Clone c i Modify Na M X Close x No a CTOs Sample size Decimal pla Tests Update users Updated 1306141 Height 5 3 RO R1 1 3 admin 2013 6 14 16 50 09 Basic Information Control Chart Information Tests RO R1 1 3 USL Chart Level Info Target Value Data Point Level Info LSL Target calia Remove C Decimal Places Note The blank is for automatic calculation but will affect the speed of data entry Sample Size Other Information Description Alarm Grade Settings Level information setting Xx Level Type Product Shift C Machine Bagger C Supplier South Packaging Data Point Level
3. F LSL Target LCL Sample Size 1000 t i A Note The blank is for automatic calculation but will affect the speed of data entry Decimal Places Other Information Description Alarm Grade Settings 1 4 3 Setting of Batch Control Chart Setting of Batch Control Chart enables users to batch setting over two control charts It is mainly used to set the items with the same value The parameters on the control chart below can be set by users a Specification b Sample size c Decimal Places d Test rule of OOC e Chart Level Info f Data Point Level Info a 16 g Control limit h Alarm Grade Setting i Batch modifying the No of control chart 1 5 Data entry 1 5 1 Data entry of Variable Control Chart There are so many ways of data entry in Variable Control Chart manual entry mode and automatic data acquisition mode The following is the primary operating instructions of manual entry mode a Select the control chart which needs to input datum on the main operation interface Click the button of Data Manipulation Single Item Entry enter the operation interface as below Method of operation NO 2 Right click the mouse and choose the Single Item Entry from the pop up menu then enter the interface of data entry m Single Item Input Product Blade Slim Blade 1306131425107710 Copy Height USL 12 000 UCL 11 306 o CL 11 00318 LCL 10 700 Average LSL 10 000
4. USL 12 000 Peete LSL 10 000 CL 2 400 LCL 2 169 2013 5 10 UCL 1 595 CL 0 898 User can decide whether to display curve by selecting or anti selecting the CTQ on the right side of the chart Combine Charts Range Entry Time S Fro 2013 6 11 19 4411 S To 2013 614 ioa 3 2 6 2 58 2 56 2 54 2 52 2 5 2 48 2 46 2 44 2 42 24 2 38 2 36 2 34 2 32 2 3 2 28 2 26 2 24 2 22 2 2 2 18 2 16 2 14 2 12 2 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Multi CTQs Comparison Chart Correlation Chart 19 20 2 Bb ee j F ee ae jo ju j2 a 16 a7 18 19 20 1305101336118431 Length 1305101336118432 Copy Length 2 350 2 380 2 430 2 410 2 330 2 420 2 500 2 490 2 530 2 550 2 500 2 500 2 600 2 100 2 400 2 300 2 400 2 500 2 600 2 100 2400 2 500 2 300 2 200 2 300 2 500 2 300 2400 2 600 2 500 3 Correlation Chart Correlation Chart is used to analyze the correlation between two parameters User need to select two parameters for analysis 35 m Combine Charts Range Entry Time Y Fro 2013 6 11 19 44 11 18 To 2013 614 Mlis4e11 8 iO o CJ BRA jk 2 7 Number of samples 65 NO x ji is Regression equation 0 61 x 9 49 gO 1 2 38 11 2533 Correlation coefficient 0 0367 E 2 2 44 10 9149 Average X 2 459 o 3 2 54 11 0952 Average Y 10 995 O4 2 21 11 0198 O5 24
5. Tests Update users Updated 1306141 Height 5 3 RO R1 1 3 admin 2013 6 14 16 52 56 Basic Information Control Chart Information KE Tests RO W Se R Chart Level Info y Set 1 Data Point Level Info v Set P Target Value LSL Sample Size Decimal Places Note The blank is for automatic calculation but will affect the speed of data entry Other Information Description Alarm Grade Settings ae 1 4 2 Settings of Attribute Control Chart Attribute Control Chart contains four different kinds of control charts P nP U and C The settings of Attribute control chart is similar to the settings of variable control chart The main difference is some parameter settings The following is a detailed introduction to the setting of each Attribute Control Chart a P control Chart The CL Central Value of P control Chart is the percent defective which is calculated according to the historical data users can leave it blank or input it directly according to the historical data Leaving CL blank means that it will be recalculated automatically according to the datum which user inputs every time Chart Settings Control Chart List oY K O Control Group Product Blade Cover Blade No a CTOs Sample size Decimal pla Tests Update users Updated 1306141 Pi visual R1 1 3 admin 2013 6 14 17 08 14 Basic Information Co
6. o 1305101 Length XR 5 P2 N A N A N A N A N A N A RO R1 1 3 ac amp g 1305201 P1 visual P N A N A N A NIA N A N A N A N A ac 1305101 Length XR 5 P2 N A N A N A N A N A N A RO R1 1 3 ac 1306131 Height XR 10 N A N A N A N A N A N A N A RO R1 1 3 ac 1306141 Thickness XS 5 N A N A N A N A 0 14 N A 0 12 RO R1 1 3 ac 0 1305101 Length XR 5 p2 N A N A N A N A N A N A RO R1 1 3 ac 0 1305201 P1 visual P N A N A N A N A N A N A N A N A ac o 1305101 Length XR 5 P2 N A N A N A 3 2 N A 1 6 RO R1 1 3 ac g 1306131 Height XR 10 N A N A N A N A 12 N A 10 RO R1 1 3 ac 1306141 Height XR 5 N A N A N A N A 12 5 N A 10 9 RO R1 1 3 ac 1306141 slim blade vi nP 2000 N A N A N A N A N A N A N A R1 1 3 ac No CTOs Chart Type Sample size Product Machine Supplier Target value Tests 0 1305101 Length Ro 5 p2 N A N A N A RO R1 1 3 lt E E Control chart number 15 DET jumaToi1 Historical points is out of control Historical points is not remark Ei Historical points have been process cLast point is not out of control Last point is not remark Final points have been processed admin Stand alone Version 4 2 0 234 Quick data collection and smart data analysis 1 7 Chart View and Capability Analysis 1 7 1 Chart View This system provides users with different kinds of analysis methods Like control chart CPK analysis to analyze the qualitative data The analysis methods can be broken down into
7. specification the percent of pass will be 100 and the calculation is not carried out 30 Control Chart View Range Entry Time From 2013 05 18 15 52 08 To 2013 06 17 v 15 52 08 renes ree Ceres Cee a x Product Blade Slim Blade 1306171551100150 Height 0 100 60 80 78 76 74 72 ee 70 68 66 64 62 ar oo oo eo aT A ESSERE n EERE 60 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 Control Chart Capability Aanalysis Run Chart Mean Run Chart i Normal Test CPK Trends Weld Trends Six Pack Range Entry Time 2013 5 18 15 52 08 gt 2013 6 17 15 52 08 eligible data are 10 Ka u 1 1 Seq Sampling time Entry Time Sample1 Sample2 Sample3 Sample4 Sample5 Status Average Range Input Users 1 2013 06 17 15 52 07 2013 06 17 15 52 07 26 39 27 41 24 06 25 88 00C 26 37 4 05 1 556101 28 11 24 06 admin 2 2013 06 17 15 52 07 2013 06 17 15 52 07 24 52 23 65 26 86 30 77 26 12 OOC 26 384 PAA 2 760549 30 77 23 65 admin 3 2013 06 17 15 52 07 2013 06 17 15 52 07 26 07 26 49 2941 26 47 23 41 OOC 26 37 6 2 128239 29 41 23 41 admin 4 2013 06 17 15 52 07 2013 06 17 15 52 07 27 03 30 21 21 26 34 26 02 24 68 ooC 26 856 5 53 2 060322 30 21 24 68 admin 5 2013 06 17 15 52 07 2013 06 17 15 52 07 26 57 25 69 24 87 26 6 26 4 Normal 26 026 1 7
8. 2 PRP RB 4 3 2 5 2 Closed black dot Contamin Status Defective Input Users Normal 7 admin 10 admin 10 admin 17 admin 7 admin admin c U control chart Quantity of Sampling Inspection The sum of inspection samples Input the quantity of defects Input the quantity of defects to the corresponding column of Defect 4 Single Item Input Control Defect rate 0 Control Chart Pareto Smart SPC Monitor Case1 Product Structure Blade Cover Blade 1306141718534530 Cover blade visual 0 Group Cover Blade Number 1306141718534530 to fill level Information Default value j Type u f Information UCL 0 0151 CL 0 0068 LCL 0 0000 Display Control Automatic pop up warr Automatic pop up handlir Settings 5 6 2013 11 15 15 32 26 2013 11 15 15 32 26 Seq Sampling time Entry Time Sampling Blade Blade 1 2013 09 04 15 50 07 2013 09 04 15 50 07 600 0 el a 2 2 2013 09 04 15 50 19 2013 09 04 15 50 19 740 L 2 0 1 a 2013 09 04 15 50 30 2013 09 04 15 50 30 680 1 0 2 3 tial 2013 09 04 15 50 44 2013 09 04 15 50 44 890 0 1 2 1 2013 09 04 15 50 57 2013 09 04 15 50 57 780 1 2 1 1 Normal Normal Normal 5 j al 1 00 0 54 0 88 0 45 0 64 black dot Contamin Status Defect rate Input Users admin admin admin admin admin admin d C control chart As the quantity of samp
9. UCL 1 747 1 500 Range 1 000 42 r 2 7 5 6 9 CL 0 983 0 500 LCL 0 219 Total 360 SampleSize 10 Groups 36 Max 11 804 Min 9 929 Mean 11 003 Dey 0 317433 CPK 1 04 PPK 1 05 Ca 0 Cp 1 04 Pp 1 05 p fi Control Chart Capability Aanalysis Run Chart Mean Run Chart Normal Test CPK Trends Yield Trends Group Name Slim Blade eed ChartNo 1306131425107710 Copy il Type xR Level of Information a ls E F USL 12 Target N A LSL 10 G1UCL 11 306 GICL 11 003 GILCL 10 700 G2UCL 1 747 G2CL 0 983 G2LCL 0 219 LJ Auto fill level Information Default value x Display Control Chart V Automatic pop up warning V Automatic pop up handling Seq Sampling time Entry Time Sample1 Sample2 Sample3 Sample4 Sample5 Sample6 Sample Samples Sample3 Sample1 Status Average Range STD Max Min Inpu 30 2013 06 14 19 00 43 2013 06 14 19 00 43 10 9533 11 2242 10 7347 11 0520 11 0366 10 5772 11 2128 10 9416 11 0523 11 2235 Normal 1100077 0 647 0 212599 11 224 10 577 at 31 2013 06 14 19 00 43 2013 06 14 19 00 43 11 0480 10 6940 11 4760 11 4840 10 9847 11 0439 11 2715 10 8376 11 0444 10 9034 Normal 11 06871 0 79 0 265884 11 484 10 694 ac 32 2013 06 14 19 00 43 2013 06 14 19 00 43 10 9437 10 7422 10 6876 11 0901 10 7585 11 3755 11 2509 11 1724 10 3486 10 9336 Normal 10 9304 1 0269 0 306867 11 376 10 349 at 33 2013 06 14 19 00 43 20
10. 6 2 39 26 7 243 273 i 2 35 26 4 Input Users Sampling Time Entry Time 2 24 _ 25 8 admin 2013 10 29 16 06 00 2013 10 29 16 06 00 1 5 2 Data entry of Attribute Control Chart The operation is the same as that of Data entry of Variable Control Chart and the operation method to enter operation interface of data entry is exactly the same as that of Data entry of Variable Control Chart The following is the detailed introduction to each one a P control chart Quantity of Sampling Inspection The sum of inspection samples Input of the quantity of defective goods Input the quantity of defective goods in the blank of corresponding defective goods Single Item Input Smart SPC Monitor Case1 Product Structure Blade Slim Blade 1310161732253750 slim blade visual Product P3 UCL 0 0034 v B D T CL 0 0013 LCL 0 0000 0 1 2 i 4 5 Control Chart Pareto Control Group Slim Blade Number 1310161732253750 Type P F Information Product P3 to fil evel Information Default value v Display Control Automatic pop up warr Automatic pop up handlir Seq Sampling time Entry Time Sampling Blade Blade black dot Contamin Status Reject rate Input Users 1 2013 10 16 17 36 03 2013 10 16 17 36 03 1800 l 0 0 0 Normal 0 06 admin 2 2013 10 16 17 36 32 2013 10 16 17 36 32 2200 2 ii 0 0 Normal 0 14 admin 3 2013 10 16 17 36 32 2013 10 16 17 36 32 1928 ia 1 0 0 No
11. 77 26 12 Cosel 26 384 7 12 2760549 30 77 23 65 admin 3 2013 06 17 18 33 39 2013 06 17 18 33 39 26 07 26 49 29 41 26 47 23 41 ooc l 26 37 6 2128239 2941 23 41 admin 4 2013 06 17 18 33 39 2013 06 17 18 33 39 27 03 26 34 26 02 24 68 OOC 26856 553 2 060322 30 21 24 68 admin 5 2013 06 17 19 33 39 2013 06 17 18 33 39 26 57 25 69 24 87 26 6 26 4 Normal 26 026 173 0 744063 26 6 24 87 admin 6 2013 06 17 19 33 39 2013 06 17 18 33 39 24 73 26 99 23 66 26 93 OOC 26144 475 1 912977 28 41 23 66 admin 7 2013 06 17 18 33 39 2013 06 17 18 33 39 24 63 23 91 27 14 25 91 27 68 Normal 25 854 377 1 602227 27 68 23 91 admin 8 2013 06 17 18 33 39 2013 06 17 18 33 39 25 95 24 58 23 27 24 97 22 2 osed 24194 3 75 1471778 25 95 22 2 admin 9 2013 06 17 18 33 39 2013 06 17 18 33 39 25 83 27 03 26 71 27 08 25 93 Noma 26 516 125 0 598732 27 08 25 83 admin 10 2013 06 17 18 33 39 2013 06 17 18 33 39 26 32 255 23 88 27 96 27 81 Normal 26 294 408 1697963 27 96 23 88 admin ae 3 2 Disposal of OOC a Click the OOC points in control charts the system will pop up a window as the picture below click Action button to process the OOC points a Data Points Detail Information Sample Data OOC Action Number of data points 1 OCC information RO Out of specification Sample 26 39 27 41 28 11 24 06 25 88 Open Average 26 37 Range 4 05 STD 1 556101 Max 26 11 Min 24 06 b Type inth
12. Places 3 Note The blank is for automatic calculation but will affect the speed of data entry Other Information Description Alarm Grade Settings d Ccontrol Chart C Control Chart is used to monitor the quantity of defects under the constant sampling size C Control Chart requires that the sample size or the inspective quantity keep constant Main usage 1 Defects spread over the continuous product flow such as the defects on nylon bubble on the glass or the something represented with the average ratio of defects the defects on the 100 square meters of nylon 2 The defects caused by different potential factors may be found in single inspection lot The component may have one or more defects Sample Size user can input the sample size that sample regularly every time Control Limit user can leave it blank or input it directly according to the historical data If users leave it blank the system will calculated the control limit according to all data when users input new data m Chart Settings Control Chart List Control Group Product Blade Cover Blade Chart Types C B dP Add a v X Close x No a CTOs Sample size Decimal pla Tests Update users Updated 1306141 Spacer Bla R1 1 3 admin 2013 6 14 17 21 29 Basic Information Control Chart Information Tests R1 1 3 USL Chart Level Info Target Value Data Point Level Info
13. Range StDev Overall c Select the level information which needs to be displayed in the summary report 37 d m Report Wizard Control chart level information Please select the control chart level information Product Shift C Supplier C ProductionLot 4nti Selection Generate D Use filter function to sift data like choosing time or level conditions and so on If not using the filter condition the system will summarize all data m Report Wizard Filtering options By setting the appropriate filter get the required data report V Use Filtering ite When the value as the ignore the conditions All data Y Range All data Conditions Product Shift Machine Supplier ProductionLot Match Equal to Equal to Equal to Equal to Equal to Value Pl B Heat Sealing ttt ttt Generate D In the report form if the CPK or PPK data is lower than a definite value the background color will be highlighted Generally speaking the standard value is 1 33 and if users click the row users will have a look at the detailed data and graphs of the corresponding control charts Process Capability Report Note If N A symbol appear in the table that means the lack of conditions such as Specifi Group Name Length P2 CPU Ppk Pp 2 40000 0 500 0 152177 Range StDev Overall StDev Wit
14. Selected Basket 1 6 1 Chart Filter The conditions in the Chart Filter include State of Control Chart Number and Inspection Items and all the types of level information means that any filter conditions will not be selected QSmart SPC Mi e Data Manipulation nitor __ lag C Historical points is out of control admin Refresh List Single item Data Input Multiitems Data Input Add to Selected Basket Chart Filter Chart Type Sample size Product Shift Machine Supplier USL Target value LSL 1305201 P1 visual P N A NjA N A N A N A N A N A NjA 1305101 Length XR 5 p2 N A N A N A NjA N A N A 1306131 Height XR 10 N A N A N A N A N A N A N A 1306141 Thickness xS 5 N A N A N A N A 0 14 N A 0 12 1305101 Length XR 5 P2 N A N A N A N A N A N A 1305201 P1 visual P NjA N A N A N A N A N A N A N A 1305101 Length XR 5 P2 N A N A NjA 3 2 N A 1 6 1306131 Height XR 10 N A N A N A N A 12 N A 10 1306141 Height XR 5 N A N A N A N A N A 1306141 slim blade vi nP 2000 N A N A N A N A N A N A N A 1306141 Cover blade U NjA NjA N A NjA N A N A NjA NjA 1306141 Spacer Blad 1000 P1 4 N A N A NjA N A N A 1306171 Height XR 5 N A N A N A N A 28 NjA 23 1306171 Height XS 9 N A N A N A N A 28 N A 23 Data points filtering by entry time
15. Single Chart View and Multiple Chart View as it shows below Basic Data Manipulation Chart View Summary Report Authority System Settings Support Help ad m H a awuwenmbn 8 a 2 Control Chart View Capability Aanalysis Pareto Chart Run Chart Mean Run Chart Normal Test CPK Trends Yield Trends SixPack Multi Charts Real Time Monitoring Merge view Multi CTQs Comparison Chart Correlation Chart Property Single Chart View Multi Charts View Properties 1 7 2 Single chart view There are two different kinds of operational approaches of Single chart view 1 Select one control chart which needs to be analyzed on the main interface of control chart click the icon of Chart View gt Single chart view then select one analysis method user needs within the area of Single chart view 2 Select one control chart which needs to be analyzed on the main interface of control 24 wn chart double click it by mouse The analytical interface of Single chart view is shown below m Control Chart View _ x Range Entry Time v From 2013 04 10 v 13 43 00 To 2013 05 10 s 13 43 00 Product Blade 1305101336118431 Length Product P2 UCL 2 631 CL 2 400 Average LCL 2 169 2013 5 10 2013 5 10 2013 5 10 20135 10 UCL 0 846 Range CL 0 400 LCL 0 000 2013 5 10 2013 5 10 2013 5 10 2013 5 10 Total 20 SampleSize 5 Groups 4 Max 2 6 Min 2 1 Mean 2 4 Dev 0 152177
16. all increasing or all decreasing m uw 14 points in a row alternating up and down n points in a row alternating up and down 7 gt 2 out of 3 points more than 2 sigma from center line same side m out of n points more than k sigma from center line same side 4 out of 5 points more than 1 sigma from center line same side m out of n points more than k sigma From center line same side rs oa 15 points in a row within 1 sigma of center line either side n points in a row within m sigma of center line either side m J 8 points in a row more than 1 sigma from center line either side n points in a row more than m sigma From center line either side ilii gt r co SAIOOOOOO PO 7 d Users can modify the tests according to different needs Tests Test List TestNo Existing Tests Test Based RO Out of specification F Ri igma From center line R2 9 points in a row on same side of d ne side of center line R36 points in a row all increasing or OK O R4 14 points in a row alternating up 4 hating up and down RS 2 out of 3 points more than 2 sigm e than k sigma from center line same side R6 4 out of 5 points more than 1 sigm e than k sigma from center line same side R 15 points in a row within 1 sigma o m sigma of center line either side R8 8 points in a row more than 1 sigma From center line either side n points in a row mo
17. as 01 02 Operational Approach Basic Setup gt Level Type Definition Level Type Definition Level Type 1 Level Type 2 Level Type 3 Level Type 4 Level Type 5 Level Type 6 Level Type 7 Level Type 8 Product _ Shift Machine L Supplier L ProductionLot Option Value Option Value Option Value Option Value Option Value Option Value Option Value Option Value Level Type 9 Option Value L a Save S Users may add option values in the Level Info in advance as the screenshot shows below 4 Keyword Option Value Machine Default value _ Bagger Bonding Heat Sealing High Frequency Peeler 2 1 2 Definition of CTQ Critical to Quality CTQ is the main control object in the control process of SPC such as physical measurement data length height of product the resistance of electrical parameters Capacitance etc Operational Approach Basic Setup gt CTQ Definition Notice Generally when the system starts do not delete or change the name of CTQ because the modification would change the name of CTQ in the control chart accordingly 41w m CTOs Definition CTQs de Add 4 Cover blade visual Height Humidity P Modify M Length P1 visual slim blade visual Spacer Blade Visual Thickness Width 2 1 3 Definition of D
18. condition The following is an example to filter the data of production batch mG APFilter Data Point Level Information Filtering Options Note When the value as the ignore the conditions Conditions Match Value Equal to Equal to Equal to Reset Filters d Settings of View Options Display Chart Title Choose whether to display the title of control chart above it Display Details Choose whether to display the detailed data of control chart on the interface Display Control Limit Choose whether to display the control limit on the control chart Display Excluded Point Choose whether to display the data points which are excluded Display Specification Choose whether to display the specification on the control chart Display page statistics Choose whether to display the capability indices below the control chart Coordinate of Horizontal Axis on control chart Choose to display it according to the sample date or inputting date Optional data modes on Horizontal Axis includes sequence number of data point entry data entry time sampling data sampling time entry date and time sampling date and time Y axis suffix Choose whether to add the suffix e g unit in Y axis Number of data points on each page Choose the number of data points which will be shown on the control chart m View Options Al cPK RunChat Display Chart Tite Display Details Display Control Limit C Display Excluded Poin
19. ee N A N A N A N A N A N A N A ontro ar 1ew E o 1310161 Weight xS 5 Property Bagger N A N A N A 15 8 N A 12 8 F o 1306141 Spacer Blad c d N A N A N A N A N A N A N A Clear Control Chart Data g 1306171 Height xS 5 Remove l Chart N A Nia N A NjA 30 NjA 22 e 1306171 Height XR 5 Copy charts include data N A N A N A N A 30 N A 22 0 1309181 slim blade vi Y aceeeieaneieieen N A N A N A N A N A N A N A O 1310161 sim blade vi P NIM cee charts N A N A N A N A N A N A N A g 1310161 Weight xS 5 Paste Control Chart Bagger N A N A N A 12 3 N A 10 3 0 1310161 Sealing width IMR 1 Out of Control Processing HeatSealing N A N A N A 0 33 N A 0 23 O 1310161 P1 visual Y NIR Control Chart Settings HeatSeaing N A N A N A N A N A N A Sl ims Sealing en TMIR 1 HaatSaalinn Nia Nia Nig AA Nia AR a ad ill E lt ill E Control Chart Number 19 1 1 jump Toji v Historical points is out of control ii Historical points is not remark E Historical points have been procegs cLast point is not out of control Last point is not remark Final points have been processed admin Version 4 3 0 186 Quick data collection and smart data analysis 2 2 Settings of System Structure Tree As the system structure tree is the main structure in system operation users should decide the structure tree according to their needs and the definition of Hierarchical Type After running the system generally it is not suggested to modif
20. management SPC can support company to achieve 6 Sigma quality level SPC has been gradually applied in various industries But many companies still have a big problem on how to integrate the actual demand with SPC system such as spread SPC knowledge the level of information technology application and cost concerns etc After investigating the actual needs of various companies we developed the innovative products Smart SPC Monitor Smart SPC Monitor feature 1 Easy to use practical and lower cost 2 Support a variety of methods for data entry 3 Diversified and customized report generation and data export function 4 Perfect mechanism in the alarm and disposal of OOC 5 High security in Authority Assignment mechanism Our vision is to provide our customers with the Intelligent Manufacturing Solution which aims to help to improve quality and reduce cost Notes in Help Manual 1 If no any special annotations the Click in the help manual stands for clicking the left mouse button 2 If no any special annotations the Double Click in the help manual stands for double clicking the left mouse button 3 Notes refers to the matters user need to pay more attention in operation or something needed to be explained specially 1 Quick Start This chapter gives user a brief introduction to the key section of this system which makes users get familiar with this system in a short time and be able to take control of
21. on the right click menu the time selection column will be shown in the system as it is shown below Select detailed data which will be shown below the interface 7 Single chart Filtering Save Image Detailed Data More Information aes m Multi Charts View SiGe kai Conventional Entry Time Fror 2013 5 7 13 43 00 To 2013 5 10 13 43 00 MBIA 4 zs b o 5 J gt q Display 2013 5 10 2013 5 10 2013 5 10 Single Pages Oo UCL 0 846 Multi Page Display Range Chart Type Control Chart 2013 5 10 x 2013 5 10 Per Page Current Pate TE D ba Product Blade Slim Blade 1305101336118431 Copy Length Chart list 3 o 1305101336118431 5 1305101336118431 Cof Ea 1306131425107710 Cof 4 2013 5 10 F o oa 4 2013 5 10 2013 5 10 Filtering Options 2013 5 10 Total 20 SampleSize 5 Groups 4 Max 2 6 Min 2 1 Mean 2 4 Dev 0 152177 CPK N A PPK N A Product P2 2013 5 10 2013 5 10 Total 20 SampleSize 5 Groups 4 Max 2 6 Min 2 1 Mean 2 4 Dev 0 152177 CPK N A PPK N A CL 0 400 LeL 0 000 2013 5 10 Ca N A Cp N A Pp N A UCL 2 631 CL 2 400 All LCL 2 169 2013 5 10 UCL 0 846 CL 0 400 LeL 0 000 2013 5 10 Ca N A Cp N A Pp NZA Fixed horizontal display ra Average Range 2 Multi CTQs Comparison Chart Product Blade Slim Blade 1306131425107710 Copy Height 0
22. the process by using this SPC system 1 1 Introduction to the structure of system This chapter will gives user a detailed introduction to the structure of the software Users nO will be familiar with the main setting interface after studying this chapter 1 1 1 Main interface of the system The main interface of Smart SPC system is as below picture Both the area of structure tree and the area of control chart list are blank before starting the setting procedure Area of Structure Tree The structure tree is similar to the directory structure in Windows OS The users need to plan the structure tree according to the actual products structure of the enterprise The structure tree will be shown in the Area of Structure Tree of the main interface Area of Control Chart List All the control charts set up by users will be shown in this area If there is a great amount of control charts they will be listed by pages The structure tree will be shown in the Area of Structure Tree after users set it up QSmart SPC Monitor E Basic Data Manipulation Chart View Summary Report Authority System Settings Support Help a 8 2 fe J Level Type Definition CTQs Definition Defect Definition Defect Grouping COM Port Settings Control Chart Settings Batch Control Chart Settings Defect Information Serial Port Settings sic Chart Settings Grow Chart Pal I I i TheArea fo The Area of Control
23. there are also three ways to autofill the level information Default Set the level information as default which is set when setting the control chart The same as last data point Set it the same as the last level info of data point Blank Do not input the level information leaving the level information blank 22 n Si ng le Item Input Average 2013 5 10 Range 2013 5 10 Product Blade 1305101336118431 Length Product P2 UCL 2 631 CL 2 400 LCL 2 169 2013 5 10 2013 5 10 UCL 0 846 CL 0 400 LCL 0 000 2013 5 10 2013 5 10 2013 5 10 Total 20 SampleSize 5 Groups 4 Max 2 6 Min 2 1 Mean 2 4 Dev 0 152177 CPK N A PPK N A Ca N A Cp N A Pp N A Control Chart Capebilty analysis Run Chart Mean Run Chart Normal Test CPK Trends Yield Trends Group Name Blade ChartNo 1305101336118431 Type xR Level of Information Product F2 USL N A Target N A LSL IDo start E Stop Auto fil level Information Default value Y V Display Control Chart V Automatic pop up warning V Automatic pop up handling 2013 05 10 13 42 36 2013 05 10 13 42 36 Machine Samplei Sample2 Sample3 Sample4 Sample5 Status Average Range i i Input Users 25 2 1 2 4 Normal 2 42 z Aa admin 2013 05 10 13 42 44 2013 05 10 13 42 44 2013 05 10 13 42 52 2013 05 10 13 42 52 2013 05 10 13 43 00 2013 05 10 13 43 00 2013 09 04 16 56 39 2013 09 04 16 56 39 1 6 Chart Filter and
24. 13 06 14 19 00 43 10 7418 10 4737 11 4235 11 3493 11 1858 11 1664 11 6832 10 9099 11 3634 11 2582 Normal 11 1555 1 21 0 355736 11 683 10 474 at 34 2013 06 14 19 00 43 2013 06 14 19 00 43 10 5887 10 9388 10 9067 11 2692 11 2205 10 6572 11 0910 11 3547 10 7403 11 0964 Normal 10 9863 0 766 0 264404 11 355 10 589 at 35 2013 06 14 19 00 43 2013 06 14 19 00 43 11 2822 11 0443 11 4168 9 9292 10 8499 10 9286 11 0204 10 7696 10 7491 11 3715 00Cc 10 9361 1488 0 427244 11 417 9 929 ac 36 2013 06 14 19 00 43 2013 06 14 19 00 43 10 8680 11 3348 10 7029 11 0055 11 3060 10 6981 11 1199 10 9815 10 5149 10 9112 Normal 10 9443 0 82 0 264467 11 335 10 515 at 37 2013 06 14 19 00 43 2013 06 14 19 00 43 at z b Method of manual data entry Input directly users can input the corresponding number in the blank column according to the sample size The data in each row is all the sample data of a control point Paste method users can copy the datum from other software and paste in the corresponding blank column me ir S c Automatic data acquisition method There is not much difference between Automatic data acquisition mode and Manual entry mode on the method of operation Firstly position the cursor in the first blank of the interface of Data Entry then click the button of Start at the top left corner it will start to acquire the data automatically If users click the button of Stop at the top left corner it will stop right now d Setting
25. 15 09 51 Audit Results Agree Refused E Audit by others Audit Descriptic Reviewed By admin Audit Date 2013 09 25 15 37 35 2 Shows no audit entries v ES Details C Applied to the list of all outstanding audit it Application yY OK 4 Support Company Website http www smartspc com Support Email support smartspc com Sales Email sales smartspc com eae
26. 1505101335119431 a a oped dl Number of samples 20 Sub group size 5 StDev Wkhin 0 158114 Cpk NIA 13051013951 18432 Co Average 2 4 USL N A StDew Overall 0 152177 Cp NiA Max 2 6 Target value N A 35igma 2 874342 CPL NJA B oO Min 2 1 LL NJA CPU NJA B Othervaues O aena Cece PPM gt USL NJA PPM Total NJA Filtering Options Overal Ratistics Number of samples 10 Average 2 439 Max 2 55 Min 2 33 Other values Observed Display mode user can define single page or multi page display mode Single page mode is to display all charts on one page Multi page display mode is to display a fixed amount of charts on each page Types of chart user can switch it between different types of charts easily There are six different types of charts available in the current system md S Display Single Pages Multi Page Display Chart Type Capability Aanalysis v Current pani KILA Db bu Graph list mode user can change the display order of graphs by using UP or DOWN button Chart list 3 305101336115431 1305101336116431 Cor 1305101336118432 Cor Filter option Use to unify the abscissa display range of each chart Filtering Options Fixed horizontal display ra As Min Max i As it is shown below unify the display range of abscissa from 2 to 3 so that user can analyze three histograms more conveniently eee ee Prod
27. 2013 6 17 15 52 08 eligible data are 10 Seq Sampling time Entry Time a 2013 06 17 15 52 07 2013 06 17 15 52 07 26 39 27 41 Ww Oi wy mi onl sa vN 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 26 07 27 03 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 26 57 24 73 24 63 BSE SSeS 26 49 02 26 86 26 34 5 26 t Normal Test CPK Trends 24 06 26 47 26 02 Samplei Sample2 Sample3 Sample4 Sample5 25 88 26 12 23 41 24 68 25 69 26 99 23 91 2487 27 14 26 6 2366 25 91 _ 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 08 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 08 25 95 25 83 26 32 2458 2703 25 5 E 23 27 26 71 24 97 23708 27 96 26 4 26 93 27 68 25 93 27 81 6 CPK Trends Each data point in the CPK Trend Chart is the CPK value of this group of data There are three different kinds of methods to calculate the standard deviation which has a close Yield Trends 29 30 Average Input Users relationship with CPK value Different methods may lead to slight difference in CPK value Control Chart Capabilty Aanalysis Run Chart Mean Run Chart Normal Test Range Entry Time 2013 5 18 15 52 08 gt
28. 2013 6 17 15 52 08 eligible data are 10 Seq Samplei Sample2 Sample3 Sample4 Sample5 Status Average Range 1 2013 06 17 15 52 07 Ww ais al al es wln m 2013 6 17 Sampling time 2013 06 17 15 52 07 2013 6 17 Entry Time 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 6 17 26 39 24 52 27 41 23 65 Range Entry Time From 2013 05 18 15 52 08 To 2013 06 17 4 15 52 08 4 Product Blade Slim Blade 1306171551100150 Height 2013 6 17 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 26 07 27 03 26 57 24 73 24 63 26 49 26 99 23 91 26 34 27 14 2013 6 17 CPK Trends Yield Trends 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 Six Pack CA a e Id it 24 06 26 86 26 47 26 02 25 69 24 87 2656 23 66 25 91 25 88 26 12 23 41 26 4 26 93 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 08 2013 06 17 15 52 07 7 Yield Trends Each point on this chart is the yield of this group of data If user has not set the 2013 06 17 15 52 07 BS E 25 95 25 83 27 03 24 58 23 27 26 71 26 32 25 5 23 88 24 97 2708 27 96 27 68 25 93 pia 24 68 Input Users
29. 3 0 744063 26 6 24 87 admin 6 2013 06 17 15 52 07 2013 06 17 15 52 07 24 73 26 99 28 41 23 66 26 93 OOC 26 144 4 75 1 912977 28 41 23 66 admin 7 2013 06 17 15 52 07 2013 06 17 15 52 07 24 63 23 91 27 14 25 91 27 68 Normal 25 854 FFA 1 602227 27 68 23 91 admin 8 2013 06 17 15 52 07 2013 06 17 15 52 07 25 95 24 58 23 27 24 97 22 2 OOC 24 194 Say 1 471778 25 95 22 2 admin 9 2013 06 17 15 52 07 2013 06 17 15 52 07 25 83 27 03 26 71 27 08 25 93 Normal 26 516 1 25 0 598732 27 08 25 83 admin 10 2013 06 17 15 52 08 2013 06 17 15 52 08 26 32 29 23 88 27 96 27 81 Normal 26 294 4 08 1 697963 27 96 23 88 admin 1 7 3 Properties Chart properties summarize the information of this chart such as the number of data point the number of OOC point and the statistical value of chart etc Properties Field Yalue Number of data 10 OTY of OOC 6 Cpk Within 0 36 Ppk Overall 0 36 StDev Within 1 760805 StDev Overall 1 735374 Average 26 1008 Range 3 57 30 77 22 2 1 7 4 Multiple charts view Multiple charts view is a very useful analytical mode which is mainly used to analyze multiple parameters contrastively Typical analysis modes include a Contrastive analysis between multiple different parameters b Contrastive analysis of the same parameters under different conditions a Select multiple control charts Operational Approach1 Hold down the Ctrl button and select multiple control charts on the main i
30. 6 11 1196 O 254 11 5509 7 256 10 8688 Osa 264 10 9385 8 Oo 25 10 6332 010 2 39 11 663 Oi 235 11 187 iB Oiz 2 45 10 9122 13 2 43 11 3807 i4 241 10 8945 8 O5 2 33 11 1772 16 2 42 10 8574 O17 25 11 0616 Olis 2 35 11 1845 O19 2 53 11 3432 O20 2 55 11 584 l2i 2 38 10 166 O22 2 44 10 7475 2 210 2 259 2 308 2 357 2 406 2 455 2 504 2 553 2 602 2 651 2 700 p E a x 1305101336118432 Copy Length Multi CTQs Comparison Chart Correlation Chart gm 1305101336118432 Copy Length 2 380 2 440 2 540 2 210 2460 2 540 2560 2640 2 500 2 390 2 350 2450 2430 2410 2330 2420 2500 2350 2530 2550 2 380 2440 25 1306131425107710 Copy Height 11 253 10 915 11 095 11 020 11 120 11 551 10 869 10 938 10 633 11 663 11 187 10 912 11 381 10 895 11 177 10 857 11 062 11 184 11 343 11 584 10 166 10 748 10 gt Real Time Monitoring The function of Real Time Monitoring is used to real time monitor the data of control chart User can choose the chart for real time monitor Meanwhile user can set the parameter in the Options as it is shown below m Option Per Page Graph Interval Minutes Auto Refresh Allow Automatic Flip Interval 5 Minutes Automatically Flip Data Display Last Data Points Display Last days data points Merge view User can merge the data of multiple charts in one chart for viewing and analysis Only the control chart with the following conditions can be me
31. CPK N A PPK N A Ca NZA Cp N A Pp N A Control Chart Capabiity Aanalysis Run Chart Mean Run Chart Normal Test CPK Trends Yield Trends Six Pack Range Entry Time 2013 4 10 13 43 00 gt 2013 5 10 13 43 00 eligible data are 4 gt 1 Sampling time Entry Time r Samplei Sample2 Sample3 Sample4 Sample5 Status Average Range STD Max Min Input Users 2013 05 10 13 42 36 2013 05 10 13 42 36 Pea ao 2 6 ad 2 4 Normal 2 42 05 0 192354 2 6 21 admin 2013 05 10 13 42 44 2013 05 10 13 42 44 2 3 2 4 2 5 2 6 21 Normal 2 38 0 5 0 192354 2 6 2 1 admin a 2013 05 10 13 42 52 2013 05 10 13 42 52 2 4 2 5 2 3 2 2 2 3 Normal 2 34 0 3 0 114018 20 22 admin 4 2013 05 10 13 43 00 2013 05 10 13 43 00 35 23 24 26 25 Normal 2 46 03 0 114018 26 23 admin a Range Select the time Users can select the time range according to the inputting date and sample date b Properties Summarize and display all the content of control chart including the number of data point out of control point and the capability indices of control chart as it shows below Properties Field F value Number of data 2 QTY of OOC 0 Cpk Within 5 56 Ppk Overall 3 35 StDev Within 0 045662 StDev Overall 0 075638 Average 2 43900 Range 0 220 2 55 c Filter function Filter the level info of data point The system will filter and analyze the datum which match the
32. Chart List of l l l l l l l Structure l l I I l I l tree l l l I l l I I l l l l l l l I I l I I I ol I l l l l l l l l l l l l l l l I Il I l l l a l se ees 7 Sea a l ontrol C vi Llo Jump To y Historical points is out of control Historical points is not remark ik Historical points have been process cLast point is not out of control Last point is not remark Final points have been processed admin Stand alone Version 4 2 0 234 Quick data collection and smart data analysis Ba Ba Level Type Definition CTQs Definition amp Product No CTOs Chart Type Sample size Product Shift Machine lt Supplier Target value LSL Tests Updat i Peeler adir Blade g 1305201 P1 P N A N A N A N A N A N A N A N A admir 1305101 Length XR 5 p2 N A N A N A N A N A N A RO R1 1 3 admir 1306131 Height XR 10 N A N A N A N A N A N A N A RO R1 1 3 admir E C E Historical points is out of control Historical points is not remark i Historical points have been process cLast point is not out of control Last point is not remark Final points have been processed admin Stand alone Version 4 2 0 234 Quick data collection and smart data analysis 1 2 System Initialization 1 3 Quick Settings of System 1 3 1 Set up structure tree On the main operation interface right click the mouse and then click to the Create button to add a ne
33. Info click the button of Set behind the setting of Data Point Level Info and enter the window below As to the items which have been set in the setting of Control Chart Level Info they will turn to be grey and not optional Users can not set the data point level info in the Data Point Level Info The operation in setting Data Point Level Type Info is similar to that of setting Control Chart Level Type Info 12 4 Data point level infor x Level Type Py oduct Machine Bagger vi Supplier Blending precision g Setting of Control Limit In the analysis phase the Control Limit can be left blank and does not need to be set right now When it comes to the Control Phase in other words the working procedures are in a stable state users need to set a stationary control limit at this time There are two ways to set the stationary control limit 1 Calculate the control limit according to all the datum in the analysis phase Click the button of Calculate the system will figure out the value of control limit automatically 2 User inputs the control limit which has been calculated through other ways directly Click the button of Remove to remove the value of control limit which users have set already m Chart Settings Control Chart List Control Group Product Blade Cover Blade Chart Types XR vilsp adda U Clone c Modify No M i No a CTOs Sample size Decimal pla
34. Length P2 N A N A N A N A N A N A RO R1 1 3 1306131425107710 Copy Height N A N A N A N A N A N A N A RO R1 1 3 Peeler Blade aa at Nu J 1 DIG Grew Historical points is out of control E Historical points is not remark m Historical points have been proces dLast point is not out of control Last point is not remark Final points have been processed admin Stand alone Version 4 2 0 234 Quick data collection and smart data analysis b Click Basic Settings gt Chart Settings and enter the operation interface of Chart Settings M Chart Settings Control Group Product Blade Cok Chart Types xR w w Clonefc i Modify No M Sample size Decimal pla Tests Update users Updated Basic Information Control Chart Information Chart Level Info Data Point Level Info inf ucL Target LCL j Calci Remove C Sample Size Above TEE E A re Below Note The blank is for automatic calculation but will affect the speed of data entry Decimal Places Other Information Description Alarm Grade Settings c Select the chart types the types of Variable Control Chart involve XR XS and IMR If the sampling number is less than 10 users can select XR type If it is greater or equal to 10 please choose XS type If it is 1 each time just select IMR type d Click the button of Add and select the CTQ from the window of Select CTQs 10 Chart Settings Con
35. OC 26 856 5 53 2 060322 30 21 24 68 admin 5 2013 06 17 15 52 07 2013 06 17 15 52 07 26 57 25 69 24 87 266 264 Nome 26025 173 0 744063 266 24 87 admin 6 2013 06 17 15 52 07 2013 06 17 15 52 07 24 73 26 99 28 41 2366 26 93 OOC 26144 475 1912977 2841 23 66 admin 7 2013 06 17 15 52 07 2013 06 17 15 52 07 24 63 23 91 27 14 25 91 27 68 Normal 25 854 3 77 1 602227 2768 23 91 admin 8 2013 06 17 15 52 07 2013 06 17 15 52 07 25 95 24 58 2327 2497 22 2 OOC 24194 375 1471778 25 95 22 2 admin 9 2013 06 17 15 52 07 2013 06 17 15 52 07 2583 27 03 2671 27 08 25 93 Noma 26516 125 0 598732 27 08 25 83 admin 10 2013 06 17 15 52 08 2013 06 17 15 52 08 26 32 255 2388 27 96 27 81 Normal 26 094 4 08 1697963 27 96 23 88 admin 3 Run Chart The red point in the run chart means the data point out of specification DOs z Cont rol Chart View JE Ronoei Eny mme Fon anioacie welisse0e 8 To arson w ssece E reren Crete ET EE Product Blade Slim Blade 1306171551100150 Height 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 Control Chart Capability analysis Run Chart Mean Run Chart Normal Test CPK Trends Yield Trends Six Pack Range Entry Time 2013 5 18 15 52 08 gt 2013 6 17 15 52 08 eligible data are 10 6 es 9 a u E 1 1 J Seq Sampling time Entry
36. Smart SPC Monitor Smart SPC Monitor Manual Standalone Version Quick Data Acquisition Smart Data Analysis Content PPS ACS a A A A A ceneenee 3 E ZOUK a sacbeananacavedesaatapegiaatacengatne 4 1 1 Introduction to the Structure of system nmani a E OA 4 kL Main mterace or TNE SYSTEM orere ac a 5 1 2 Systemi initiala tOR i eesin E T ete eas used endian amas 6 1 3 Q Ick Settings Or Syste Miseni e a a e 6 1 3 1 SET UP STLUCTUFO TeC eroinei nii o Ea OEE O EATEN 6 1 3 2 LevelType DeM O Nennir aidan ata 7 1 3 3 CIT DENON anan A 7 1 3 4 DeTIMITIONOF DEEG S edino a a aN 8 1 3 5 GROUNDING Or DETECT E TEETE A T 8 1 3 6 COM POr SOUUD a E E haan aaa een a uted 9 1 4 SO CCS Ol CONE OC el erei a ous da cece testa a a a E a A A 9 1 4 1 Setting of Variable Control Chart cccccssssccccccssecceeceeeecceseeeseceeeseeaeeeeseeees 9 1 4 2 Settings of Attribute Control Chart ccccccccccsssseccccsesseceeeseeeeceesseeseeeeseeees 14 1 4 3 Setting Of Batch COntrol C Ha rana ian et alates 16 1 5 DILENN araa eae custiadaatine ods auachaceatteumms axnatuawermeueea a E AA 17 1 5 1 Data entry of Variable Control Chart ccccccsssscccccssssecceeeesecceesaeeeeceesseeeeees 17 1 5 2 Data entry of Attribute Control Chart ccscccccsssssececcsessseeecseesececsseaseess 19 1 5 3 Time of data entry and Time of Sampling inspection ccccccsesseeeeeeeeeeeees 21 1 5 4 Input Level information Of data point ccc
37. Time a 2013 06 17 15 52 07 2013 06 17 15 52 07 3 4 5 6 7 8 9 4 2013 06 17 15 52 07 Samplei Sample2 Sample3 Sample4 Sample5 24 06 26 39 27 41 2013 06 17 15 52 07 2013 06 17 15 52 07 24 52 26 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 2013 06 17 15 52 07 27 03 26 57 2473 2088 23 65 26 49 30 2 2569 26 99 2391 26 86 26 34 24 87 27 14 26 47 26 02 266 23 66 25 91 25 95 24 58 23 27 24 97 2013 06 17 15 52 07 2013 06 17 15 52 08 2013 06 17 15 52 07 2013 06 17 15 52 08 Mean Run Chart 25 83 26 32 2703 asi 26 71 23 88 27 08 Status Average 25 88 pease 23 41 24 68 26 4 26 93 27 68 25 93 Range Input Users The trend line in the Mean Run Chart is the link of mean value of each group of data each group of data lines at the same ordinate BEE Product Blade Slim Blade 1306171551100150 Height Settings 0 LSL 23 000 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 Control Chart Capabiity Aanalysis Run Chart Mean Run chare Normal Test CPK Trends Yield Tre
38. culation but will affect the speed of data entry Other Information Description Alarm Grade Settings c U control chart U control chart is the control chart of the quantity of defects in control unit The CL of U control chart is the quantity of defective goods quantity of defects in each inspection unit The CL Central Value of U control Chart is the quantity of defects in each unit product which is calculated according to the historical data users can leave it blank or input it directly according to the historical data Leaving CL blank means that it will be recalculated automatically according to the datum which user inputs every time Remark The difference between U control chart and P control chart U control chart is mainly used to control the quantity of defects of one single product like the quantity of defects of cloth P control chart monitors whether the whole good is defect or not in other words it controls the quantity of defective goods m Chart Settings Control Chart List y K0 Control Group Product Blade Cover Blade No a CTOs Sample size Decimal pla Tests Update users Updated 1306141 Cover blad R1 1 3 admin 2013 6 14 17 18 53 Basic Information Control Chart Information USL Tests R Chart Level Info Y set D Target Yalue Data Point Level Info y Set P CSE Target l Decimal
39. cvacunasaetut oud saaanedgsaatunsdigatscagunatvaneanereasavan 48 2 4 SENDE ORS tEn ONLI ONS a a e a O aE O O TTT O E TOT 49 2 4 1 General SEINE ana a a A eee 49 2 4 2 VIEW ODU O aiai ii E desea ince teats A AE E ed aemeeeenes 49 2 4 3 Setting of OOC Out of Control Action sseseesssssessseesessrreressrrrreesrrrressrrrressereress 50 2 5 Data Mantena NCE nesrnirainoti iaaiiai a E ENA EAE EA 51 3 Disposal mechanism of OOC QUTOf CONO os a A AA 51 el Rale Or OG rar ae Fanta tre ens tersaeta ee toe cc tanec ors tecren a auuint cnt teemene ota tetnene ume er teats waneeeeetac 51 3 2 Bii eretcye Wo a O10 Geena seencerrncrentes terrier tren N 52 3 3 A ditmechani nro OOCGISPOS al sascuccscrnssancacnaeinseancwawacnaeenewincaawaatnadeneanlsamnranuterneanness 53 Ae SUPPO Wecgenemeeneir ns penne E nen ne nenn cra ee 54 Preface The traditional quality control is dependent on the final product inspection to screen out the nonconforming products This method usually cause serious scrap because unable to effectively Ds control the quality of the process Statistical process control SPC is focus on process control and nonconforming prevention Through data collection and analysis user can identify the unnatural or non random variation which is caused by special or assignable causes So user can prompt take corrective action to eliminate the unnatural variation and improve the process performance As the most important tool of six sigma
40. dmin s 2013 06 17 15 52 07 2013 06 17 15 52 07 2657 25 69 24 87 266 26 4 Normal 26 026 173 0 744063 266 24 87 admin 6 2013 06 17 15 52 07 2013 06 17 15 52 07 24 73 26 99 28 41 2366 26 93 OOC 26 144 4 75 1912977 2841 23 66 admin 7 2013 06 17 15 52 07 2013 06 17 15 52 07 24 63 23 91 27 14 25 91 27 68 Normal 25 854 377 1 602227 27 68 2391 admin 8 2013 06 17 15 52 07 2013 06 17 15 52 07 25 95 2458 23 27 24 97 Be OOC 24 194 375 1 471778 25 95 22 2 admin 9 2013 06 17 15 52 07 2013 06 17 15 52 07 25 83 27 03 2671 27 08 26 516 125 0 598732 27 08 25 83 admin 10 2013 06 17 15 52 08 2013 06 17 15 52 08 2632 25 5 23 88 27 96 26 294 4 08 1 697963 27 96 23 98 admin mo e On the setting interface user can customize the styles of the viewing interface as it is shown below View Options All CPK RunChart Display Chart Tite Display Details Display Control Limit C Display Excluded Point Display Specification Cl Show full decimal Display page statistics Horizontal axis Number of data pc J Y axis shows the suffix Show Per page 25 Data Points Entry TimeShow All Data Points Only display tF 2 Capability Analysis As CPK data is related to subgroup size and the methods of estimating within subgroup standard deviation user need to choose subgroup size and the methods of estimating within subgroup standard deviation Different options may re
41. dress of server which sending the alarm mails as mail google com Email Address of Sender Set private address of sender who send the alarm mail Users Name Mail username of the sender who logins in mail server which generally is the same as the Email address Password The password of sender s email Email Address of Receiver The email address of Receiver who receives the alarm mail of out of control M Email alarm for the out of control points Pop up confirmation for sending Email a Alert with sound _ Send OOC mail from local computer Email Parameter Settings SMTP Server Port 25 Email Address Character Code Western European IS v Password SMTP server requires authentication Receive Email Address Multiple Email addresses with commas separated Send a test mail SO 2 5 Data Maintenance Backup data Backup the current data of system the data for web edition would be backup in catalogue of server so users should input a catalogue when backupping Restore data Restore the backup data users should input the path and name of the backup files when restore the backup data for web edition Format data Initially configuring systems all current data will be deleted SPC Monitor Data Maintenance Backup Data O Recover Data Format Data Save To ss 3 Disposal mechanism of OOC Out of Control 3 1 Rule of OOC System will remind users the OOC stat
42. e reason and action of OOC in the window of OOC Action m OOC Action Action Cause Action Remark By admin Processing Time 2913 09 25 vw 15 15 25 2 f OK 0 3 Cancelie c Users can choose an appropriate action from the history experience database or save the new action to history experience database POS y ee m Historical experience database Manager Cause Action machine issue stop machine for maintenance incoming material quality issue feedback to vendor For improvement 3 3 Audit mechanism of OOC disposal a The action of OOC points should be approved by the senior administrator for rejected action need to be handled again Data Points Detail Information Sample Data OOC Action Number of data points gt 2 OCC information RO Out of specification Sample 24 52 23 65 26 86 30 77 26 12 Cause machine problem Average 26 364 Range 7 12 Action STD 2 760549 stop machine for maintenance Max 30 77 Min 23 65 Person in charge admin Processing time 2013 09 25 15 09 51 43 Re treatment b Manager can batch process the OOC data point 53 Audit results Audit results Refused Audit describtion please specify the problem and what kind of maintenanc was done Audit people admin Audit time 2013 09 25 15 37 35 OCC Processing Audit OOC Cause machine problem OOC Action stop machine for maintenance Remarked by admin Processing Tim 013 09 25
43. eeescccccssssececeseeseeceeseeeeeceessaassees 21 1 6 Chart Filter and Selected Basket cccccccccssssecccceeseeccecceeecceesaeeeeeeesseaaeeeeeseeaeeeeeeas 23 1 6 1 CA GI Ce Sie T T EA 23 1 6 2 Selected Baske lenesi aa RN 24 1 7 Chart View and Capability Amalysisicia cis mianesaumedsasamiacuas seretdues deaccmebincedeendeatunasuneemeoasiar 24 1 7 1 ER YAO aa vances athiteah yaa a gad natsanatecaaseat ean sarereteaeeas 24 1 7 2 SMELE CRNIN VIEW aeria a a E T A T O 24 1 7 3 Propertie e E E aaneiea oarexeasteeueensaaseners 31 1 7 4 PVF TPS GUS Vi EW uneca aa a T E E N E 31 1 8 SUMMI REDOT Conen sentes dieeaasedtcsaneeuda genes seagstetetatnecdasanrstneeeang 37 1 8 1 PFOCESS Capability SUMIMALY concione i TEE TO OO 37 1 8 2 Yield SummMay REPO anara a a aa amu a eek 39 Zr SVSUCM SCINS AAE AA AAAA 40 2 1 BAIE a N N 40 2 41 De TIMITIOMOT Level Type monr nonne n T T O tone Soaatede 40 2 1 2 De niNItlIONOh ClO aiiisiena eimai iiosa aatheltiene teristic 41 2 1 3 DS TIMIEION OTD STOCUSS kara ecw i E E E 42 2 1 4 Grouping Ol DETECTS sinama e e e a a a S 42 2 1 5 CONIDOrCSETUD riera inia a EAA OE OOTO OAO 43 2 1 6 Setup Of COMthOl Charts a ies 44 2 2 Settings of System Structure Tree sioni R 45 2 3 Athor SERINE minnan casa nsncuauasadsnaa mead ausesnoaawsane adoueaneadssaemneapeanentiae 45 2 3 1 User Seting S nni a E OEO E OOE TOE 45 2 3 2 User Group se HINES saree ae 46 2 3 3 User to Group SENINE Sania E E E A 47 2 3 4 CRANE CDAS NO a vua
44. efects Users should preset Defects item in the system before monitoring defects by P nP U and C control chart In the setting of Defects the code and name must be filled Operational Approach Basic Setup gt CTQ Definition m Defect Definition Code Name Description Blade Crack Crack Failure black dot gt 0 1mm black dot Contamination visualize contamination 2 1 4 Grouping of Defects As defects only appear in some fields of products or process users should sort these defects to different products or different process after setting the Defects item Operational Approach Basic Setup gt Defects Grouping 42 x Defect Grouping Group Chart Name 4 1306141456030780 Options Selected Code Name Code Name C201 black dot c101 Blade damage C202 Contamination C102 Blade Crack 2 1 5 COM port setup Before automatical data acquisition to the Smart SPC system users need to set the connection parameter of serial port Only when the connection parameter is set up correctly the data can be transferred to the system successfully As to the setup of parameters users can refer to the user manual of the instrument in more details After completing the setup of parameters users can test whether it can read the data from the instrument or not Operation Approach Basic Setup COM port settings Com Port Settings Port wi For Automatic Data Capture Forward Por
45. eight 10 3 RO R1 1 3 admin 2013 9 18 16 47 23 Basic Information Control Chart Information pe RORI 1 3 USL Tests iy y Set R Chart Level Info Product P2 y set Data Point Level Info Shift 4 Machine Bagger ProductionLot 21345216 Y Set P LSL UCL Target LeL I Decimal Places Note The blank is for automatic calculation but will affect the speed of data entry Target Value Sample Size Other Information Description Alarm Grade Settings b Modify the serial number of control chart The serial number of control chart is an auxiliary method for users to distinguish control charts Users can modify the serial number of control charts c Settings of tests of control chart R1 R8 Rules are the current international recognized SPC control rules RO criteria for recognition of the data which is out of specification Actually RO has a great significance in the actual application RO and R1 test rules are default settings for a new control chart A Tests Test List Existing Tests Test Based Out of specification Out of specification a Ss o E K o D m SE 1 point more than 3 sigma from center line n point more than m sigma From center line 9 points in a row on same side of center line n points in a row on same side of center line pal m 6 points in a row all increasing or all decreasing n points in a row
46. eral settings m Option Conventional Control Group List Show Title Only display name v Sort By Ascending Descending No Sort Control Charts List Data Entry Page up To Show SO S C Save the sample data after confirmation Automatic pop up warning dialog box for out of control Automatic pop up dialog box For out of control data Not allow to modify data when input data Chart View Show the chart above when data entry when the cursor is parked in the chart above display data information on the current data point Show Title Set display mode of control charts in structure tree Sort by Set ordering mode of control charts in structure tree List of control charts Set the display quantity of control charts on each page in main interface Date entry Set the system response mode in data entry Chart View Set the display mode for graphic displaying interface 2 4 2 View Option Users need to set reasonable days according to both the size of date amount of system and practical needs The greater number of days will slow down system processing speed mA 22 4 Option Single Chart view Loading 30 Day Data Multi Charts View Loading Day Data 2 4 3 Setting of OOC Out of Control Action Properties setting of Email Set properties for Email server which sending the alarm mails SMTP server The IP address or domain name and port ad
47. hin 0 158114 2 6 2 1 2 Product elade spacer Blade Height 0 74 0 79 0 75 0 00 26 1008 857 1 735374 1 760805 30 77 122 2 3 Product Blade sim Blade Length P2 0 68 0 89 0 70 0 00 2 39200 0 500 0 146822 0 150776 2 6 21 _ 4 Product slade 3im Blade Length P2 2 86 3 07 3 29 286 2 52 271 2 90 2 52 0 00 2 45613 0 490 0 098267 0 086841 27 lza 5 Product Blade sim Blade Height ma 1414 115 a 112 1 13 0 00 10 99484 1 899 0 297089 0 292083 11 8285 9 9292 6 Product plade sim Blade Height 0 76 0 78 0 74 0 77 0 79 0 75 0 00 26 10080 8 570 1 735374 1 760805 30 77 22 2 38 1 8 2 Yield Summary Report a Select the control group item for analysis m Report Wizard Control groups list Please check the control group to be analyzed Product Peeler Blade 1 Cover Blade Spacer Blade Slim Blade Cancel C Back P Next N Generate D b Select the level information which needs to be displayed in the report form Report Wizard Control chart level information Please select the control chart level information Shift Anti Selection Supplier C ProductionLot CancelfC Back P Next N Generate D c Use filter function to sift data like choosing time or level conditions and so on If not using the filter condition the system will summarize all data m Report Wizard Filtering options By setting the appropriate filter get the required data report V Use Filteri
48. hlighted color Control Chart View E E Product Blade Slim Blade 1306171551100150 Height QO 15 52 08 To 2013 06 17 Range Entry Time v From 2013 05 18 v UCL 28 526 USL 28 000 P CL 26 101 Average LCL 23 676 LSL 23 000 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 UCL 6 885 o CL 4 203 Range LeL 0 000 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 2013 6 17 Total 50 SampleSize 5 Groups 10 Max 30 77 Min 22 2 Mean 26 1 Dev 1 735374 CPK 0 36 PPK 0 36 Ca 0 24 Cp 047 Pp 0 48 Control Chart Capability analysis Run Chart Mean Run Chart Normal Test CPK Trends Yield Trends Six Pack Range Entry Time 2013 5 18 15 52 08 gt 2013 6 17 15 52 08 eligible data are 10 Kaa u JU ui Seq Sampling time Entry Time Sample1 Sample2 Sample3 Sample4 Sample5 Average Range Max Min Input Users 1 2013 06 17 15 52 07 2013 06 17 15 52 07 26 39 27 41 25 88 OO 1556101 28 11 24 06 admin 2 2013 06 17 15 52 07 2013 06 17 15 52 07 24 52 2365 26 86 30 77 26 12 OOC 26084 7 12 2760549 3077 23 65 admin 3 2013 06 17 15 52 07 2013 06 17 15 52 07 26 07 49 2941 26 47 2341 OOC 26 37 6 2 128239 2941 23 41 admin 4 2013 06 17 15 52 07 2013 06 17 15 52 07 27 03 30 21 26 34 26 02 2468 OOC 26855 553 2 060322 30 21 24 68 a
49. input the data to the system Time of sampling inspection The time point that samples are inspected in production line 1 5 4 Input Level information of data point a set the level information of data point as well while setting the control chart After it a corresponding column to input level information will be added to the operation interface of the Data Entry As to the specific method of settings please refer to the introduction to the If users need to stratify each control point in the control chart first of all users need to Level Information Setting of data point settings of control chart A Chart Settings se Pe q Control Chart List Y OK 0 Control Group Product Blade Spacer Blade Chart Types c No CTOs Sample size Decimal pla Tests Update users Updated 1306141 Spacer Bla R1 1 3 admin 2013 9 4 16 48 13 Basic Information Control Chart Information T Set R USL Tests Set R Chart Level Info 3 yo Set 1 Target Value Data Point Level Info YW Set P S UCL Target LCL 4 Calci Remove C ae T Above J La aw Below Decimal Places Note The blank is for automatic calculation but will affect the speed of data entry Other Information Description Alarm Grade Settings b Input Level information of data point There are two ways to input level information of data point 1 Input the level inf
50. ling inspection in C control chart must be constant and has been fixed when setting the control chart what makes it different from U control chart is that it needn t to be input the quantity of sampling inspection 207 m Single Item Input Control Chart Number of defects Smart SPC Monitor Case1 Product Structure Blade Spacer Blade 1306141721229370 Spacer Blade Visual Product P1 Shift 4 UCL 14 9373 CL 7 0000 LCL 0 0000 Pareto Control Group Spacer Blade Number 1306141721229370 Type F Information Product P1 Shift A to fill level Information Default value w Display Control Automatic pop up warr Automatic pop up handlir Seq Sampling time Entry Time Machine Supplier Sampling Blade Blade black dot Contamin Status Number of Input Users 1 2013 09 04 15 54 06 2013 09 04 15 54 06 1000 1 2 0 1 Normal 4 admin 2 2013 09 04 15 54 23 2013 09 04 15 54 23 1000 2 3 4 4 Normal 10 admin a 2013 09 04 15 54 27 2013 09 04 15 54 27 1000 2 1 1 2 Nom e admin 4 2013 09 04 15 54 32 2013 09 04 15 54 32 1000 2 3 2 x Normal 8 admin has 2013 09 04 15 54 39 2013 09 04 15 54 39 1000 0 2 1 3 Normal 6 admin 6 2013 09 04 15 54 43 2013 09 04 15 54 43 1000 2 4 0 2 Normal 8 admin sa 2013 11 15 15 33 51 2013 11 15 15 33 51 Bagger Blendingpreci 1000 admin 1 5 3 Time of data entry and Time of sampling inspection Time of data entry The time point to
51. nds Six Pack 7 Range Entry Time 2013 5 18 15 52 08 gt 2013 6 17 15 52 08 eligible data are 10 e O CQ 1 1 J E Seq Sampling time Entry Time Sample1 Sample2 Sample3 Sample4 Sample5 Status Average Range STD Max Min Input Users 1 2013 06 17 15 52 07 2013 06 17 15 52 07 26 39 27 41 24 06 25 98 2 f ni 2 2013 06 17 15 52 07 2013 06 17 15 52 07 24 52 23 65 26 86 26 12 3 2013 06 17 15 52 07 2013 06 17 15 52 07 26 07 26 49 26 47 23 41 4 2013 06 17 15 52 07 2013 06 17 15 52 07 27 03 30 21 26 34 26 02 24 68 5 2013 06 17 15 52 07 2013 06 17 15 52 07 2657 25 69 24 87 266 26 4 6 2013 06 17 15 52 07 2013 06 17 15 52 07 24 73 26 99 28 41 23 66 26 93 7 2013 06 17 15 52 07 2013 06 17 15 52 07 24 63 23 91 27 14 25 91 27 68 8 2013 06 17 15 52 07 2013 06 17 15 52 07 25 95 2458 23 27 24 97 9 2013 06 17 15 52 07 2013 06 17 15 52 07 25 83 27 03 2671 27 08 25 93 10 2013 06 17 15 52 08 2013 06 17 15 52 08 26 32 255 23 88 27 96 27 81 5 Normal Test Normal Test is mainly used to check whether all data fit the normal distribution Generally speaking it fit the normal distribution if the P value is less than 0 05 J Ms Cont rol Chart i i ew rage ry Te Fon Product BladeSlim Blade 1306171551100150 Height Control Chart Capabiity Aanalysis Run Chart Mean Run Char 23 24 2 Range Entry Time 2013 5 18 15 52 08 gt
52. ng ite When the value as the ignore the conditions Range All data Conditions Match Yalue Product Equal to P2 Shift Equal to B Machine Equal to Heat Sealing Supplier Equal to ttt ProductionLot Equal to HHH Cancel C Back P Next i Generate D d Select the control chart which needs to be analyzed and choose the defect types that need 39 w to be displayed Report Wizard z Control chart list Please check need to analyze the control chart V 1310161904 Select 1306141710 Se 7 1309181729 Anti Selection V 1310161732 D v 1306141721 1306141718 Show Top Defects 3 Item Cancel C Back P Next N Generate D e The quantity and percent of defects or defective products are gathered in the report form and their percent is calculated based on the total quantity of defects or defective products Yield Report Te a v lt a l l 2 f f Print Export Data Re Generate Supplier ProductionLot Seq Group Name No Product Shift Machine Location Sampling number Good part number Yield Defect code A Smart SPC Monitor Case3 Machine Structure Heat Sealing Machine 1310161904432650 Pl HeatSealing 14390 14271 99 17 C302 Sealing Damat EZI Smart SPC Monitor Case1 Product Structure Blade Slim Blade 1306141710497500 Pi 10000 9949 99 49 C202 Contaminatio E3 Smart SPC M
53. ns Control Group Permissions Single itemDatalInput Multi itemsDataInput AG Data privileges Permission for related operations on data processing Modify Xx Update Users Update Time 2013 9 23 16 37 43 Group Description System Privileges Data Privileges Group Privileges C Inputdata C Reviseddata C Deletedata C OOCRemark C oocaudit C Allowtomodifythedatainputbyothers All of the changes in the user login take effect in the next time Control Group permission Permission for operations on control groups Users can only view the control groups with operation permission m Modify Update Users Update Time 2013 9 23 16 37 43 Group Description System Privileges Data Privileges Group Privileges SmartSPC System V Casel Process Structure Case2 CTQ Structure E Case3 Level Type Structure E Caseg C Organization Structure Case5 C Machine Structure H Case6 C Production Condition All of the changes in the user login take effect in the next time 2 3 3 User to Group Settings The system authorizes user groups directly but not a single user So after a user has belonged to a user group it will get a corresponding authority of the user group Assigned users in different user groups mA m Users To Group Manager be kal supervisor 0 i ka Not to group 2 2 3 4 Change password A8 2 4 Setting of system options 2 4 1 Gen
54. nterface by using the mouse Operational Approach2 Pop up menu through the right mouse button and add control charts to the selected basket aoe Tests RO R1 1 3 S Product No CTOs Chatt Sample size Product Shift Machine Supplier ProductionLot USL LSL Peeler me Target value 1306141 Height RO R1 1 3 1306171 Height XR 5 N A N A N A N A N A 28 N A 23 RO R1 1 3 1306141 1305201 1305201 P1 visual 1306141 slim blade vi 1306141 Spacer Blad 1000 P1 A N A N A N A N A N A N A R1 1 3 Cover blade R1 1 3 P1 visual es Lis _4 Lb JL vi Historical points is out of control Bh historical points is not remark rey Historical points have been procegs cLast point is not out of control Last point is not remark Final points have been processed admin Stand alone Version 4 2 0 234 Quick data collection and smart data analysis b Analysis between multiple charts 1 View the contrastive modes lw Conventional Product Glade 1305101336118431 Length Product P2 Number of samples 20 Display Average 2 4 Max 2 6 OSingle Pages g Min 2 1 on Chart Type Casna Per Page E Graph Current Paget w Dep Product Blade Sim Glade 1305101336118431 Copy Length Product P2 Chart lst 3 Overall Within To Katetes Constat Cakuated valve S Process Capability Within
55. ntrol Chart Information USL Tests R1 1 3 P Chart Level Info F sew Set T tel Target LCL Sample Size fl _ li d Note The blank is for automatic calculation but will affect the speed of data entry Target Yalue Data Point Level Info Decimal Places Other Information Description Alarm Grade Settings b nP Control Chart The nP Control Chart of the quantity of defective goods nP control chart is basically the same as P control chart the only difference is that the sample size in nP control chart is constant Sample Size user can input the sample size that sample regularly every time Control Limit user can leave it blank or input it directly according to the historical data If users leave it blank the system will calculated the control limit according to all data when users input new data 14 Chart Settings Control Chart List Control Group Product Blade Cover Blade Chart Types nP vi leb Add a Delete D Clone i Modify No M X Close x No a CTOs Sample size Decimal pla Tests Update users Updated 1306141 slim blade v R1 1 3 admin 2013 6 14 17 11 03 Basic Information Control Chart Information Tests R1 1 3 USL Chart Level Info Target Value Data Point Level Info LSL Target Sample Size l Calta Decimal Places lt Note The blank is for automatic cal
56. o set the equipment number in advance such as setting it as 01 02 Operation Approach Basic Setup Definition of Level Type Level Type Definition Level Type 1 Product Option Value Level Type 2 Shift Option Value Level Type 3 Machine Option Value Level Type 4 Supplier Option Yalue Level Type 5 Option Yalue Level Type 6 Option Yalue Level Type 7 Option Yalue Level Type 8 Option Yalue Level Type 9 Option Yalue tl_ Severs 1 3 3 CTQ Definition Critical to Quality often referred as CTQ in English is the main control object in the control process of SPC such as physical measurement data length height of product the resistance of electrical parameters capacitance etc Operation Approach Basic Setup gt CTQ Definition m CTOs Definition 1 3 4 Definition of Defects Before apply control chart like P nP U to monitor the defects it is necessary for user to set the defects in the system in advance The code and name must be filled in the system Operation Approach Basic Setup Definition of Defects m Defect Definition Code Description d F J lec al il age Blade Crack Crack Failure black dot m Modify Code C101 Name Blade damage Contamination Desc gt 0 05mm blade damage 1 3 5 Grouping of Defects As most of common poor items only appear in a cer
57. onitor Case1 Product Structure Blade Slim Blade 1309181729000000 P2 21623 21525 99 55 C201 black dot Esa Smart SPC Monitor Case1 Product Structure Blade Slim Blade 1310161732253750 P3 12778 12762 99 87 C101 Blade damag 5 Smart SPC Monitor Case1 Product Structure Blade Spacer Blade 1306141721229370 Pl A 6000 5958 99 3 C102 Blade Crack 6 Smart SPC Monitor Case1 Product Structure Blade Cover Blade 1306141718534530 3690 3665 99 32 C201 black dot FPY 96 75 2 System settings Quick start in the first Chapter has made the instructions for the method of System Setup and this Chapter will give user a supplementary instruction to some parts which have not been described in details in the first Chapter 2 1 Basic setup Although Basic Setup is the first step of the System Setup users should make a detailed analysis to system architecture before the basic setup in order to decide the content of the basic setup Parts of basic settings should not be modified after the system starts to run or it will lead to the inconsistency of system Properties like Definition of Level Type 2 1 1 Definition of Level Type The System has offered users nine level types to custom it by themselves Alternative values are preset by users for example users can click Option values button for presetting the equipment AQ serial number when building a hierarchy type of equipment serial number and here for example set the equipment serial number
58. ormation manually m Single Item Input Product Blade 1305101336118431 Length Product P2 UCL 2 631 o aj pas CL 2 400 E i gt 3 LCL 2 169 2013 5 10 2013 5 10 2013 5 10 2 800 UCL 0 846 0 600 G 0400 CL 0 400 E o 0 200 0 000 LCL 0 000 2013 5 10 2013 5 10 2013 5 10 2013 5 10 Total 20 SampleSize 5 Groups 4 Max 2 6 Min 2 1 Mean 2 4 Dev 0 152177 CPK N A PPK N A Ca N A Cp N A Pp N A Control Chart Capability analysis Run Chart Mean Run Chart Normal Test CPK Trends Yield Trends Group Name Blade ChartNo 1305101336118431 Type Level of Information Product P2 USL N A Target N A LSL N A i gt Start E stop Auto fill level Information Default value w Display Control Chart Automatic pop up warning Automatic pop up handling Settings Seq Sampling time Entry Time pample1 Sample2 Sample3 Sample4 Sample5 Status Average Range STD Max Min Input Users 1 2013 05 10 13 42 36 2013 05 10 13 42 34 25 25 2 6 2 1 2 4 Noma 2 42 05 0 192354 26 21 admin 2 2013 05 10 13 42 44 2013 05 10 13 42 44 23 24 25 26 21 Wmm nn teen oun admin 3 2013 05 10 13 42 52 2013 05 10 13 42 54 z4 2s 23 ee 23 za o3 lanas 25 2 admin 4 2013 05 10 13 43 00 2013 05 10 13 43 00 a5 33 Be 25 ae 65 ola 26 23 admin 5 2013 09 04 16 56 39 2013 09 04 16 56 39 2 Autofill the level information
59. q Every O CTS Control Delay ms Readings Flow Control oE O DSR Control Delay ms Readings _ pTR O RLSD Monitor Delay ms Readings Data Format Segments 4 v Segment Start Bit Stop Bit Computing Formula where x representative of the data itself Char Trigger O Event Trigger Start Test 4 est P Clear Results C Save Results S OK O Cancel C Display ASCII table A 1 4 Setting of Control Chart Setting of Control Chart is one of the most important parts in the system setting The following is a detailed introduction to the setting of control chart The setting of control chart includes the Setting of Variable Control Chart and the Setting of Attribute Control Chart 1 4 1 Setting of Variable Control Chart a Select a certain directory structure which is needed to be set up with a mouse AQOSmart SPC Monitor I aj E Aa S pe r E Wi Control Chart Settings Batch C Chart Type Sample size Product Shift Machine Supplier USL Target value LSL Tests 1305201826334530 P1 N A N A N A N A N A N A N A N A ae 1305101336118432 Length 5 P2 N A N A N A NIA N A N A RO R1 1 3 Cover Blade 1306131425107710 Height 10 N A N A N A N A NIA N A N A RO R1 1 3 1306141456030780 Thickness 5 N A N A N A N A 0 14 N A 0 12 RO R1 1 3 1305101336118431 Copy Length 5 P2 N A N A N A NIA N A N A RO R1 1 3 1305201826334537 Pi N A N A N A N A NIA N A N A 1305101336118432 Copy
60. re than m sigma From center line either side gt mi O O mi O O Copy and paste control chart Users can right click the pop up menu in main interface to copy and paste the control chart the operation is similar to copy and paste files under Windows operating system The data of control chart will be copied into the new control chart accordingly m Smart SPC Monitor Basic Data Manipulation Chart view Summary Report Authority System Settings Support Help Refresh List Single item Data Input Multi items Data Input Add to Selected Basket OOC Processing Audit Charts Filter Control Group Control Chart Control Group List Chart Path Smart SPC Monitor Case1 Product Structure Blade Spacer Blade Smart SPC Monitor No CTOs Chart Type Sample size Product Shift Machine Supplier ProductionLot Location USL Target value ESE Case3 Machine Structu g 1306141 Thickness XS 5 P1 N A Bagger N A N A N A 0 14 N A 0 12 A G Case2 Process Structui 0 1305101 Length XR 5 P2 N A N A N A N A N A 27 N A 2 Casel Product Structu fo Blade Single item Data Input slim Blade g 1306131 Height XR 10 N A Nia N A NjA 12 NjA 10 Multi items Data Input Spacer Blade g 1306141 Height xR N A N A N A N A 12 5 N A 10 9 Add to Selected Basket Cover Blade oO 1306141 slim blade vi nP 2 arte pii N A N A N A N A N A N A N A Charts Filter Peeler o 1306141 Cover blade U nE
61. rged to analyze 1 Same type of Variable Control Chart 2 Same sample size 3 The specification in merged CPK chart will adopt the latest specification a6 1 8Summary Report The columns of Summary Report provide users with a variety of Summary function so as to meet their needs of report The standard version contains two basic reports types Capability Analysis and Yield Summary Report Our system provides the customized report according to different demands of customers Basic Data Manipulation Chart view Summary Report Authority System Settings Support Help Process Capability Summary Yield Summary Variable Data Attribute Data 1 8 1 Process Capability Summary The summary report for Process Capability is analyzed based on the control chart CPK and PPK data are calculated based on the current specifications value If the specifications value in control chart are not set CPK and PPK parameters will not be calculated a Select the control group items which need to be analyzed m Report Wizard Control groups list Please check the control group to be analyzed Product Select All Peeler i Blade Anti Selection Cover Blade Spacer Blade Slim Blade b Select the parameter which needs to be calculated m Report Wizard Column name Please select the column it will be list in the report Cpk StDev Within Select All Cp Max Cpl Min Anti Selection CPU Ppk Pp PPL PPU Ca Average
62. rmal 0 05 admin 4 2013 10 16 17 36 32 2013 10 16 17 36 32 2100 3 2 0 0 Normal 0 24 admin S 2013 10 16 17 36 32 2013 10 16 17 36 32 2250 1 3 0 in Normal 0 18 admin mee 6 2013 10 16 17 36 32 2013 10 16 17 36 32 2500 2 0 0 0 Normal 0 08 admin 7 2013 11 15 15 28 51 2013 11 15 15 28 51 admin b nP control chart As the quantity of sampling inspection in nP control chart must be constant and has been fixed when setting the control chart what makes it different from P control chart is that it needn t to be input the quantity of sampling inspection a0 m Single Item Input Defective Control Chart Pareto Smart SPC Monitor Case1 Product Structure Blade Slim Blade 1306141710497500 slim blade visual Control Group Slim Blade to fill level Information Default value j Number 1306141710497500 Type P f Information Product P1 Product P1 UCL 19 7568 LCL 0 6432 Display Control Automatic pop up warr Settings Automatic pop up handlir Seq Sampling time Entry Time Sampling Blade Blade EELEE 2013 09 03 12 02 26 2013 09 03 12 02 40 2013 09 03 12 02 52 2013 09 03 12 03 04 2013 09 03 12 09 37 2013 11 15 15 30 33 2013 09 03 12 02 26 2013 09 03 12 02 40 2013 09 03 12 02 52 2013 09 03 12 03 04 2013 09 03 12 09 37 2013 11 15 15 30 33 2000 2000 2000 2000 2000 2000 qe 1 NAND
63. s of Data Entry Interface Display Control Chart Choose whether to show the control chart or not on the Data Entry interface Pop up alarm of runaway automatically Choose whether to pop up alarm of runaway Settings Click the button of Setting at the top right corner of Data Entry Interface it will pop up the window below Users can set the quantity of historical data points which are callout by the Data Entry Interface from data base when inputting the data The system default quantity is 30 and it is also 30 at least View Options All CPK RunChart Display Chart Tite Display Details Display Control Limit C Display Excluded Point Display Specification Display page statistics C Show full decimal Horizontal axis Number of data pc Y axis shows the suffix Show Per page 2am Data Points e Multiple items input function Please select multiple control charts which need to input data on the main operation interface of the system click the button of Data Operation gt Multi Input then enter the operation interface ato m Wulti Input Input Direction Automatic Input Level Type information Save Horizontal Input Vertical Input gt Start Stor C Smart Fill C Automatic fill the level type information same with last point kd Save _ Auto Save USL 32 30 Target value N A N A LSL 16 22 P2 Seq Length Height 205 25
64. sult in a sli CPK value but the PPK value will not be affected ght difference in Control Chart View From 2013 05 18 15 52 08 To 15 52 08 Range Entry Time 2013 06 17 Y EX Product Blade Slim Blade 1306171551100150 Height within Sub group size 5 Overall Number of samples 50 StDev Within 1 760805 StDev Overall 1 735374 35igma 31 383215 35igma 20 818385 PPM lt LSL 36983 33 PPM gt USL 136888 86 PPM Total 173872 19 Process Capability Within Process capability Overall PPM lt LSL 20000 00 PPM gt USL 200000 00 PPM Total 220000 00 PPM lt LSL 39118 14 PPM gt USL 140383 54 PPM Total 179501 68 22 24 32 Other values Ca 0 24 20 26 30 Control Chart Capability Aanalysis Run Chart Mean Run Chart Normal Test CPK Trends Yield Trends Six Pack Range Entry Time 2013 5 18 15 52 08 gt 2013 6 17 15 52 08 eligible data are 10 Sampling time Average Range Input Users 2013 06 17 15 52 07 2013 06 17 15 52 07 26 39 OOC 1556101 28 11 2013 06 17 15 52 07 2013 06 17 15 52 07 24 52 23 65 i 0 77 26 12 OOC 26 384 7 12 2760549 30 77 23 65 admin 3 2013 06 17 15 52 07 2013 06 17 15 52 07 26 07 26 49 2941 26 47 23 41 OOC 26 37 6 2128239 2941 23 41 admin 4 2013 06 17 15 52 07 2013 06 17 15 52 07 27 03 30 21 26 34 26 02 24 68 O
65. t Display Specification Display page statistics C Show full decimal Horizontal axis Number of data pc Y axis shows the suffix Show Per page 25 al Data Points Parameter Settings about the calculation of CPK Subgroup Size Set the size of subgroup Sigma line Choose whether to display the Sigma line on the Histogram Histogram Bars Set the number of histogram cell O means that it will calculate automatically IG Methods of estimating within subgroup standard deviation There are three different kinds of methods to calculate within subgroup standard deviation the traditional method is to calculate it through range The recognized and accurate method is to estimate it by Pooled standard deviation View Options RunChart C Sigma Line Sub group Size 3 Histogram Bars 0 Note set to 0 that the automatic calculation O Rbar OSTD Pooled STD Estimated Subgroup stDey e Export function Export control chart and data to Excel file f Category of chart User can view different types of analytical charts 1 Control chart The red point on control chart means that this point is out of control Red means that this data point has broken one of the eight conventional out of control rules Red means that at least one data point in the sample exceeds the specification line Data which exceed the specification in the data area will be displayed in hig
66. t wl Instrument or Device Name Parameter Settings Data collection Type eccu P Event Identifiel LF V Data Leading Char NULL v C Ignore Null Note LF Line feed CR Carriage return SP Space character Data Bits Init Command OF cR Stop Bit 1 Active Mode Party Bit None O Slave Mode Request Command Every ms To Send OTS Control Delay ms Readings Flow Control None Ww Ss O DSR Control Delay ms Readings pTR ORLSD Monitor Delay ms Readings Data Format Segments Segment Start Bit Stop Bit Computing Formula where x representative of the data itself es Char Trigger O Event Trigger Start Test 4 Stop Test P Clear Results C Save Results S OK O Cancelie Display ASCII table A LAT 2 1 6 Setup of Control Chart a Clone the control chart Clone a new control chart with same setting in the same control group Operational Approach Choose one chart and click Clone button and then OK button Note Without clicking the Ok button the cloned control chart will not be saved in the system m Chart Settings Control Chart List oY oK O Control Group Product Blade Chart Types XR ep Add A Clone c i Modify No M kg Savet XM Close x No a CTOs Sample size Decimal pla Tests Update users Updated 1305101 Length 5 3 RO R1 1 3 admin 2013 9 18 16 46 37 1305101 Length 5 3 RO R1 1 3 admin 2013 9 18 16 47 20 1306131 H
67. tain range of products or working processes it is necessary for users to sort them to different products or working processes after completing the settings of Defects Operation approach Basic Setup Grouping of Defects Defect Grouping Group Chart Name P 1305201826334537 Options Selected Code Name Code Name C201 black dot C101 Blade damage C202 Contamination C102 Blade Crack 1 3 6 COM port setup Before the instrument with automatical data acquisition function transfers the data to the Smart SPC users need to set the connection parameter of serial port Only when the connection parameter is set up correctly can the data be transferred to the system successfully As to the setup of parameters users can refer to the user manual of the instrument that users purchased in more details After completing the setup of parameters users can test whether it can read the data in the instrument or not Operation Approach Basic Setup COM port setup Com Port Settings Port For Automatic Data Capture Forward Port v Instrument or Device Name Parameter Settings Data collection Type Baud Rate Event Identifiet LF vj Data Leading Char NULL C Ignore Null Note LF Line feed CR Carriage return SP Space character Data Bits 6 Init Command Cur Cle StopBit ji Active Mode Request Command Ever ms To Send Parity Bit O Slave Mode Re
68. trol Chart List Control Group Product Blade Cover Blade chet typeste Mie w oteo E oeo OET CTOs Sample size Select CTQs Height Height Humidity Length Pi Thickness Width Basic Information USL BE Sample Size 5 v Decimal Places 3 Ni Note The blank is for automatic calculation but will affect the speed of data entry Other Information Description Alarm Grade Settings e After user set up UCL Upper Control Limit Target and LCL Lower Control Limit Click button of OK Apart from Sample size and Decimal Places other parameters can be set in the future m Chart Settings Control Chart List Control Group Product Blade Cover Blade Chart Types XR vi sp Add a Delete D fe Clone c i Modify No M XM Close x No a CTOs Sample size Decimal pla Tests Update users Updated 1306141 Height 5 3 RO R1 1 3 admin 2013 6 14 16 50 09 Basic Information Control Chart Information aaan RO R1 1 3 USL Tests A Chart Level Info Target Yalue Data Point Level Info UCL Target LCL Sample Size Above ii calcia Remove C oo o Below LSL Decimal Places Note The blank is for automatic calculation but will affect the speed of data entry Other Information Description Alarm Grade Settings
69. uct Glade 1305101336118431 Length Product P2 Within Cakusted vaiue Process Capabiry Within StDev Within 0 158114 Cpk NjA Ppk Nia StDev Overall 0 152177 35igma 2 874342 w Ee Product Blade Sim Glade 1905101336118431 Capy Length Product P2 Chart list 3 SUES Cakated valve Process Copatiky within Process capab ey Overall 13051013361 18431 Co zJ StDev Wkhin 0 158114 Cpk NjA Ppk M A 13051013951 18432 Co StDev Overall 0 152177 Cp NiA Pp N A 3Sigma 2 874342 o 3Sigma 1 925658 Exp performance WRR Prt lt LS 0 00 PPM gt USL 0 00 PPM Total 0 00 Fikering Options J Fied hortzontal j Froduct BladeiSim Slade 1305101936118422 Copy Length Product P2 vethn Cakuated value Sub group size 5 StDev Within 0 045662 USL 3 2 StDew Overall 0 075638 Target value N A 35igma 2 575985 3Sigme 2 302015 Compose type of analytical data in CPK analytical chart it enables user to click the right button of mouse to pop up menu and then choose whether to display relevant data items or not 4 Automatic arrangement statistics Const ant Calculated value Process Capability Within Process capability Overall Other values Observed performance Exp performance Within amp Re amp amp amp amp 4 Exp performance Overall Choose time range Click the option of Single Chart Filter
70. us in various methods a Color alarm of control charts Different colors to show the OOC status Historical points is out of control E Historical points is not remark ea Historical points have been process cLast point is not out of control Last point is not remark Final points have been processed b Alarm for data points of control charts unsettled OOC points would be in red the settled OOC points would be in green Control Chart View E E x Range Entry Time v From 2013 05 18 v 18 33 39 1 To 2013 06 17 s 18 33 39 Product Blade Slim Blade 1306171833152500 Height U CL 28 460 E USL 28 000 z S CL 26 101 a LCL 23 742 LSL 23 000 UCL 3 454 g wo of CL 1 653 LCL 0 000 0 1 2 3 4 5 6 7 8 9 Total 50 SampleSize 5 Groups 10 Max 30 77 Min 22 2 Mean 26 101 Dev 1 735374 CPK 0 74 PPK 0 75 Ca 0 03 Cp 0 76 Pp 0 77 Control Chart Capability Aanalysis Run Chart Mean Run Chart Normal Test CPK Trends Yield Trends Six Pack j Range Entry Time 2013 05 18 18 33 39 gt 2013 06 17 18 33 39 eligible data are 10 Diaa w Jd u DIB Seq Sampling time Entry Time Sample1 Sample2 Sample3 Sample4 Samples Status Average Range STD Max Min Input Users 1 2013 06 17 18 33 39 2013 06 17 18 33 39 26 39 27 41 28 11 24 06 2588 OOC 26 37 4 05 1556101 28 11 24 06 admin 2 2013 06 17 18 33 39 2013 06 17 18 33 39 24 52 2365 26 86 30
71. w directory structure The directory structure which user sets up for the first time is the root directory Other newly created directory structures will be saved in the subdirectory of the directory structure that is selected by the mouse i QSmart SPC Monitor Sa Level Type Definition CTQs Definition Defect Definition Defect Grouping COM Port Settings Control 5 Product No CTOs ChatType Samplesze Product Shit Machine Supplier USL Taaget vale LSL Tests Updat Peeler o 1305101 Length XR 5 P2 N A N A N A N A N A N A RO R1 1 3 admir tt Blade e 1305201 P1 P N A N A N A N A N A N A N A N A admir Soacor Blade 1305101 Length XR 5 P2 N A N A N A N A N A N A RO R1 1 3 admir Cover Blade 1306131 Height XR 10 N A N A N A N A N A N A N A RO R1 1 3 admir jaa i Historical points is out of control i Historical points is not remark a Historical points have been process cLast point is not out of control Last point is not remark Final points have been processed admin Stand alone Version 4 2 0 234 Quick data collection and smart data analysis ne ee 1 3 2 Level Type Definition Nine different styles of level structures are available for users to custom settings in our system Optional Value is the value set by user in advance For example in order to set Equipment Number as level structure just need to click the button of Option Value then users are able t
72. y the structure except for adding control groups 2 3 Authority Setting 2 3 1 User Settings If users have not set the effective date and expiry date the system would default users to take effect immediately meanwhile there is no expiry date aA User Name Frank User ID 70275 x Password infirm Password Andyanced Descriptions lEffective Date 2013 9 23 Expiration Date 2013 9 25 Update Users Update Time 2013 9 23 16 22 44 2 3 2 User Group Settings The authority management of system is managed by means of user groups so users can set different user groups according to their need For example set an administrative group for administrators of the system set an entry group for date entry staffs in the meantime for managing different scopes of products the manage groups for staffs probably needs to set according to different manage scopes The system authorizes user groups directly but not a single user So after a user has belong to a user group it will get a corresponding authority of the user group The authorities of user group contain three types system permission data permission and control group permission System privileges permission for operations on system settings User Group Manager Delete Modify co Hide Permissions Code Name Update users Updated Description leader admin 2013 9 23 16 37 43 a a E System Privileges Data Permissio

2 System settings

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