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Petrochemical Industry
We will plot a control chart for a chemical used
 as a catalyst in the manufacturing of a
 polyester precursor.

   •   Create a control standard of a known
       concentration.
   •   Analyze it numerous times on the same
       analytical instrument.
   •   treat the data statistically.
Data for Cobalt Control Standard
 Date       Cobalt, ppm target     Date       Cobalt, ppm
                         500 ppm
 06/04/04            484           08/03/04           504
 06/08/04            502           08/07/04           511
 06/12/04            502           08/11/04           525
 06/16/04            511           08/15/04           532
 06/20/04            511           08/19/04           529
 06/24/04            541           08/23/04           541
 06/28/04            538           08/27/04           512
 07/02/04            506           08/31/04           509
 07/06/04            492           09/04/04           516
 07/10/04            497           09/08/04           516
 07/14/04            501           09/12/04           513
 07/18/04            510           09/16/04           485
 07/22/04            520           09/20/04           521
 07/26/04            529           09/24/04           526
Statistics for Control Chart
   limits key     Cobalt
_KSigma                    2
_Alpha                0.04550
_Std Dev             10.63472
_Range Span                2


_Mean               514.66666
_LCL                493.39722
_UCL               535.936113
Control Chart
                      Individual Measurement of Cobalt


         560
         550


         540

         530                                                             UCL=535.94

         520
Cobalt                                                                   Avg=514.67
ppm      510

         500
                                                                         LCL=493.40
         490

         480

         470

               06/12 06/24 07/06 07/18 07/30 08/11 08/23 09/04 09/16 09/28
Interpret Chart for Patterns*
interpret control chart for patterns.

  •   note instability patterns on catalyst chart;

  •   erratic data fluctuations which are too wide
      for the control limits, and for this process it is
      most likely caused by:

      • instrument problems, contaminants in the
        control standard sample.
      • Engineer will run process samples off the line
Service Sector
Control chart application to computer hardware
 dispatch hours for a company.

 Graph hours per week for hardware service
  calls nationwide.
 Moving averages graphed.
Dispatch Data
Week     Hours
09-Oct       4831.95 UCL      8885
16-Oct       6873.05 LCL      2812
23-Oct       7320.46 Mean     5848
30-Oct       7125.05 KSigma      3
06-Nov       5240.30
13-Nov       6032.35
20-Nov       5965.87
27-Nov       3398.82
04-Dec       5568.26
11-Dec       4797.87
18-Dec       5492.55
25-Dec       3487.23
01-Jan       2563.78
08-Jan       4519.24
15-Jan       5512.70
Interpret Control Chart*
Interpret control chart pattern

  •   cycles-short trends that repeat a pattern
      over a long enough period of time

  •   see hours are down based on time of year:
      holidays

  •   has shown outliners when new processing
      code was installed with errors.

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TQ

  • 1. Petrochemical Industry We will plot a control chart for a chemical used as a catalyst in the manufacturing of a polyester precursor. • Create a control standard of a known concentration. • Analyze it numerous times on the same analytical instrument. • treat the data statistically.
  • 2. Data for Cobalt Control Standard Date Cobalt, ppm target Date Cobalt, ppm 500 ppm 06/04/04 484 08/03/04 504 06/08/04 502 08/07/04 511 06/12/04 502 08/11/04 525 06/16/04 511 08/15/04 532 06/20/04 511 08/19/04 529 06/24/04 541 08/23/04 541 06/28/04 538 08/27/04 512 07/02/04 506 08/31/04 509 07/06/04 492 09/04/04 516 07/10/04 497 09/08/04 516 07/14/04 501 09/12/04 513 07/18/04 510 09/16/04 485 07/22/04 520 09/20/04 521 07/26/04 529 09/24/04 526
  • 3. Statistics for Control Chart limits key Cobalt _KSigma 2 _Alpha 0.04550 _Std Dev 10.63472 _Range Span 2 _Mean 514.66666 _LCL 493.39722 _UCL 535.936113
  • 4. Control Chart Individual Measurement of Cobalt 560 550 540 530 UCL=535.94 520 Cobalt Avg=514.67 ppm 510 500 LCL=493.40 490 480 470 06/12 06/24 07/06 07/18 07/30 08/11 08/23 09/04 09/16 09/28
  • 5. Interpret Chart for Patterns* interpret control chart for patterns. • note instability patterns on catalyst chart; • erratic data fluctuations which are too wide for the control limits, and for this process it is most likely caused by: • instrument problems, contaminants in the control standard sample. • Engineer will run process samples off the line
  • 6. Service Sector Control chart application to computer hardware dispatch hours for a company. Graph hours per week for hardware service calls nationwide. Moving averages graphed.
  • 7. Dispatch Data Week Hours 09-Oct 4831.95 UCL 8885 16-Oct 6873.05 LCL 2812 23-Oct 7320.46 Mean 5848 30-Oct 7125.05 KSigma 3 06-Nov 5240.30 13-Nov 6032.35 20-Nov 5965.87 27-Nov 3398.82 04-Dec 5568.26 11-Dec 4797.87 18-Dec 5492.55 25-Dec 3487.23 01-Jan 2563.78 08-Jan 4519.24 15-Jan 5512.70
  • 8.
  • 9. Interpret Control Chart* Interpret control chart pattern • cycles-short trends that repeat a pattern over a long enough period of time • see hours are down based on time of year: holidays • has shown outliners when new processing code was installed with errors.