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Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically- Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Page 1: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 1

Chapter 12

Statistically-Based Quality Improvement

for Attributes

Page 2: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 2

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Chapter 12

Types of attributesGeneric process for developing attribute chartsUnderstanding attribute chartsChoosing the right attributes chartReliability models

Page 3: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 3

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Types of Attributes

Types of Attributes

StructuralSensoryPerformanceTemporalEthical

Page 4: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 4

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Generic process for developing attribute charts

1. Identify Critical Operations

2. Identify critical product characteristics

3. Determine whether the product characteristics is a variable or an attribute

Page 5: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Generic process for developing attribute charts

4. Select the appropriate process chart

5. Establish control limits

6. Update the limits when changes have been made to the process

Page 6: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 6

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

Attribute Charts deal with binomial and Poisson processes, not measurements

Think in terms of defects and defectives rather than diameters and widths

Page 7: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 7

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

A defect is an irregularity or problem with a larger unit

The larger unit may contain many defects Defects are countable

Page 8: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 8

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

A defective is a unit that, as a whole, is not acceptable or does not meet performance requirements

Defectives are monitored p and np charts

Defects are monitored using c and u charts

Page 9: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 9

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

A p chart is a process chart that is used to graph the proportion of items in a sample that are defective

Effective to determine when there has been a shift in the proportion defectives for a particular product or service

Page 10: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 10

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

p chart applications include: Late deliveries Incomplete orders Calls not getting dial tones Accounting transaction errors Clerical errors on written forms Parts that do not mate properly

Page 11: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 11

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

p charts for example 12-1

Page 12: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 12

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

Example 12-1 using excel

Page 13: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 13

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

The np chart is a graph of the number of defectives in a subgroup

The np chart requires the sample size of each subgroup be the same each time a sample is drawn

The uses for the np chart are essentially the same as the p chart

Page 14: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 14

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

np charts for example 12-2

Page 15: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

Example 12-2 using excel

Page 16: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

The c chart is a graph of the number of defects per unit

The units must be of the same metric .. size, height, length, volume …

The c chart is used to detect nonrandom events in the life of a production process

Page 17: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

c chart

Page 18: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 18

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

The u chart is a graph of the average number of defects per unit.

The units can be of different Sizes, height, length, volume …

Page 19: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 19

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

u chart

Page 20: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 20

Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Understanding Attribute Charts

c and u charts using excel

Page 21: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Choosing the Right Attributes Chart

Page 22: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Reliability Models

Bathtub shaped function The vertical axis is the failure rate The horizontal axis is time Shows products are

more likely to fail either

early or late in their

useful lifetimes

Page 23: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Reliability Models

Series reliability Components are in a series if the

performance of the entire system depends on all the components functioning properly

The components need not be physically wired sequentially

All parts must function for the system to function

Page 24: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Reliability Models

Parallel reliability High reliability systems often require

extremely require high component reliability

When it is impossible an alternative is to use a backup system

Another word for backup is redundant or parallel

Page 25: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Reliability Models

Measuring reliability

Failure rate = l = number of failures>(units tested * number of hours tested)

Mean Time to failure =

Mean Time Between Failures = total operating hours>number of failures

Page 26: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Reliability Models

System Availability

System availability = MTBF>(MTBF + MTTR)

Page 27: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

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Strategic Quality PlanningStatistically-Based Quality Improvement for Attributes Summary

Types of attributesGeneric process for developing attribute chartsUnderstanding attribute chartsChoosing the right attributes chartReliability models

Page 28: Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall. 12- 1 Chapter 12 Statistically-Based Quality Improvement for Attributes

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.12- 28

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