10-1 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved.

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10-1 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Chapter 10 Quality Control

10-2 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control The process that evaluates output relative to a standard and takes corrective action when output fails to meet the standard

10-3 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Phases of Quality Assurance Acceptance sampling Process control Continuous improvement Inspection before/after production Corrective action during production Quality built into the process The least progressive The most progressive Figure 10-1

10-4 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Inspection How Much/How Often Where/When Centralized vs. On-site InputsTransformationOutputs Acceptance sampling Process control Acceptance sampling Figure 10-2

10-5 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control How Much/How Often Value of the item Cost of passing defects Cost of inspection Line disruptions due to inspections Variability of the process

10-6 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Inspection Costs Cost Optimal Amount of Inspection Cost of inspection Cost of passing defectives Total Cost Figure 10-3

10-7 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Where to Inspect in the Process Raw materials and purchased parts Finished products Before a costly operation Before an irreversible process Before a covering process

10-8 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Examples of Inspection Points Table 10-1

10-9 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Centralized vs. On-site Environmental requirements of the inspection equipment Are the advantages of centralized inspection enough to offset the disruption caused by moving products to the inspection point

10-10 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Statistical Process Control : Statistical evaluation of the output of a process during production

10-11 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Statistical Process Control The Control Process –Define the characteristic to be controlled –Measure –Compare to a standard –Evaluate –Take corrective action –Evaluate corrective action

10-12 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Statistical Process Control Variations and Control –Random variation: Natural variations in the output of process, created by countless minor factors –Assignable variation: A variation whose source can be identified A process is in control when there are no assignable variations, all variations are random

10-13 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Normal Distribution Mean  95.44% 99.74%  Standard deviation Figure 10-5

10-14 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Control Chart UCL LCL Sample number Mean Out of control Normal variation due to chance Abnormal variation due to assignable sources Figure 10-8

10-15 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Observations from Sample Distribution Sample number UCL LCL 1234 Figure 10-9

10-16 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Mean and Range Charts UCL LCL UCL LCL R-chart x-Chart Detects shift Does not detect shift Figure 10-10A (process mean is shifting upward) Sampling Distribution

10-17 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Mean and Range Charts UCL LC L R-chart Reveals increase x-Chart UCL Does not reveal increase Figure 10-10B (process variability is increasing) Sampling Distribution

10-18 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Control Chart for Attributes p-Chart - Control chart used to monitor the proportion of defectives in a process c-Chart - Control chart used to monitor the number of defects per unit

10-19 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Use of p-Charts When observations can be placed into two categories. –Good or bad –Pass or fail –Operate or don’t operate When the data consists of multiple samples of several observations each Table 10-3

10-20 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Use of c-Charts Use only when the number of occurrences per unit of measure can be counted; non- occurrences cannot be counted. –Scratches, chips, dents, or errors per item –Cracks or faults per unit of distance –Breaks or Tears per unit of area –Bacteria or pollutants per unit of volume –Calls, complaints, failures per unit of time Table 10-3

10-21 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Counting Above/Below Median Runs(7 runs) Counting Up/Down Runs(8 runs) U U D U D U D U U D B A A B A B B B A A B Figure Figure Counting Runs

10-22 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Tolerances –specifications Process variability –Natural variability in a process Process capability –Process variability relative to specification Process Capability

10-23 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Process Capability Lower Specification Upper Specification Process variability matches specifications Lower Specification Upper Specification Process variability well within specifications Lower Specification Upper Specification Process variability exceeds specifications Figure 10-14

10-24 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Process Capability Ratio Process capability ratio, Cp = specification width process width Upper specification – lower specification 6  Cp =

10-25 McGraw-Hill/Irwin Operations Management, Seventh Edition, by William J. Stevenson Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. Quality Control Process mean Lower specification Upper specification 1350 ppm 1.7 ppm +/- 3 Sigma +/- 6 Sigma 3 Sigma and 6 Sigma Quality Figure 10-15