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Introduction to operations and supply chain management 3e bozarth chapter 05

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 Describe the different costs of quality, including internal and external failure, appraisal, and prevention costs..  Calculate process capability ratios and indices and set up contr

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Managing Quality

Chapter 5

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Chapter Objectives

Be able to:

Discuss the various definitions and dimensions of quality and why quality is important to operations and supply chains

Describe the different costs of quality, including internal and

external failure, appraisal, and prevention costs

Describe what TQM is, along with its seven core principles

Calculate process capability ratios and indices and set up

control charts for monitoring continuous variables and

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Quality Defined

Quality – The characteristics of a product or service that bear on its ability to satisfy stated or implied needs; a product or service that is free of

 Conformance perspective – A quality perspective focused

on whether or not a product was made or a service was

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Eight Dimensions of Quality

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Quality Dimension Examples

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Total Cost of Quality

Prevention costs – Costs an organization incurs to

actually prevent defects from occurring to begin

with.

Appraisal costs – Costs a company incurs for

assessing its quality levels.

Internal failure costs – Costs caused by defects that occur prior to delivery to the customer.

External failure costs – Costs incurred by defects that are not detected until a product or service reaches

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Total Cost of Quality

Traditional View

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Total Cost of Quality

Zero Defects View

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Total Quality Management

Total Quality Management -

A managerial approach in which an organization is managed so that it excels in all quality dimensions that are important to

customers.

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Total Quality Management

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Total Quality Management

Customer focus

 Each employee has a customer whether internal

or external to the company.

Leadership involvement

 Must be ‘top’ down, throughout the company.

 If not, major cause of TQM failures

Continuous improvement

 There is always room for improvement.

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Total Quality Management

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Total Quality Management

Supplier Partnerships

 The commitment between firms and supply chain partners must be the same.

Strategic Quality Plan

 Sets a broad set of objectives.

 Should establish measurable goals for the term.

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short-Process Capability

Answers the Question:

Can the process provide

acceptable quality consistently?

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Process Capability Ratio (Cp)

Cp = Upper Tolerance Limit – Lower Tolerance Limit

Where σ is the estimated standard deviation for the individual observations

Process Capability Ratio (Cp) – Measures whether or not a process is potentially capable of

meeting certain quality standards

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Normal Distribution

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Process Capability Values

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Process Capability Index

min LTL UTL

Cpk

Process Capability Index (Cpk) – Measures whether or not a process is capable of meeting certain quality standards and is centered between the specification limits.

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Six Sigma Quality

To achieve Six Sigma quality, the variability

of a process must be reduced to the point that the process capability ratio is greater

than or equal to 2.

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Six Sigma Quality

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Control Charts

Control Chart – A specialized run chart that helps an organization track changes in key measures over time.

 Continuous variable – A variable that can be

measured along a continuous scale.

 Attribute – The presence or absence of a

particular characteristic.

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Sampling – Using carefully selected samples

to get a fairly good idea of how well a

process is working.

Good sample:

 Every outcome has an equal chance of being

selected into the sample.

 The sample size is large enough to not be swayed

by any single observation.

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Continuous Variable

Measurements

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Control Charts

X chart - A specific type of control chart for a

continuous variable that is used to track the average value for future samples.

R chart – A specific type of control chart for a

continuous variable that is used to track how much the individual observations within each sample

vary.

p chart – A specific type of control chart for

attributes that is used to track sample proportions.

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Step 1 – Sampling the Process

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Step 2 – Calculate the Mean

and Range for each sample

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Step 3 – Calculate control limits

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Step 3 – Calculate control limits

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Step 4 – Plot the Data

Figure 5.8

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Sampling by Attribute

 Gonzo Pizza is interested in tracking the

proportion (%) of late deliveries

 Like before, you take several samples of say, 50 observations each when things are “typical”

 For each sample, you calculate the proportion of

late deliveries and call this value p For example:

 Average all of the 15 sample proportions For

p = (8 late)/(50 deliveries) = 0.16

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Sampling by Attribute

Calculate the standard deviation for the p chart as follows:

042

0

) 1

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Sampling by Attribute

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Sampling by Attribute

 Although text says to go ahead with control charts, consider that it is probably too early to develop them since the process is not yet in control (i.e., late

deliveries are too high a percentage at present)

 A more practical approach would be:

 First, fix the more obvious problem(s)

 Then take new samples

 Then put in place control charts

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Acceptance Sampling

Some definitions

Acceptable quality level (AQL)

 Maximum defect level for 100% customer acceptance

Lot tolerance percent defective (LTPD)

 Highest defect level customer will tolerate

Consumer’s risk

 Probability of accepting a bad lot

Producer’s risk

 Probability of rejecting a good lot

Operating characteristics (OC) curve

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Producer’s and Consumer’s Risk

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Traditional View of the Cost of Variability

There is no failure cost associated with units that fall within the tolerance limits, while units outside the tolerance limits immediately

result in failure costs.

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Taguchi’s Quality Loss Function

Any deviation from the target value results in some failure cost

As long as there is variability in the process, there is room for

improvement.

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applicable regulatory requirements.

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Managing Quality

Case Study

Dittenhoefer’s Fine China

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All rights reserved No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or

otherwise, without the prior written permission of the publisher

Printed in the United States of America.

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