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Principles of Sequencing and Scheduling





213733[PDF] Principles of Sequencing and Scheduling

PRINCIPLES OFSEQUENCING ANDSCHEDULING

PRINCIPLES OFSEQUENCING ANDSCHEDULING

Kenneth R. Baker

Tuck School of Business

Dartmouth College

Hanover, New Hampshire

Dan Trietsch

College of Engineering

American University of Armenia

Yerevan, Armenia

A JOHN WILEY & SONS, INC. PUBLICATION

CopyrightC?2009 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

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, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior

written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to

the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission

should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken,

NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions.

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in

preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and speciÞcally disclaim any implied warranties of

merchantability or Þtness for a particular purpose. No warranty may be created or extended by sales

representatives or written sales materials. The advice andstrategies contained herein may not be suitable

for your situation. You should consult with a professional where appropriate. Neither the publisher nor

author shall be liable for any loss of proÞt or any other commercial damages, including but not limited to

special, incidental, consequential, or other damages.

For general information on our other products and services or for technical support, please contact our

Customer Care Department within the United States at (800) 762-2974, outside the United States at (317) 572-3993 or fax (317) 572-4002.

Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may

not be available in electronic formats. For more information about Wiley products, visit our web site at

www.wiley.com. Library of Congress Cataloging-in-Publication Data:

Baker, Kenneth R., 1943 Ð

Principles of sequencing and scheduling / Kenneth R. Baker, Dan Trietsch. p. cm.

Includes bibliographical references and index.

ISBN 978-0-470-39165-5 (cloth)

1. Production scheduling. I. Trietsch, Dan. II. Title.

TS157.5.B35 2009

658.5
?3Ðdc222008041829

Printed in the United States of America

10 9 8 7 6 5 4 3 2 1

CONTENTS

Prefacexiii

1 Introduction1

1.1 Introduction to Sequencing and Scheduling, 1

1.2 Scheduling Theory, 3

1.3 Philosophy and Coverage of the Book, 6

References, 8

2 Single-Machine Sequencing10

2.1 Introduction, 10

2.2 Preliminaries, 11

2.3 Problems Without Due Dates: Elementary Results, 15

2.3.1 Flowtime and Inventory, 15

2.3.2 Minimizing Total Flowtime, 16

2.3.3 Minimizing Total Weighted Flowtime, 19

2.4 Problems with Due Dates: Elementary Results, 21

2.4.1 Lateness Criteria, 21

2.4.2 Minimizing the Number of Tardy Jobs, 24

2.4.3 Minimizing Total Tardiness, 25

2.4.4 Due Dates as Decisions, 29

2.5 Summary, 31

References, 31

Exercises, 32

v viCONTENTS

3 Optimization Methods for the Single-Machine Problem 34

3.1 Introduction, 34

3.2 Adjacent Pairwise Interchange Methods, 36

3.3 A Dynamic Programming Approach, 37

3.4 Dominance Properties, 43

3.5 A Branch and Bound Approach, 47

3.6 Summary, 53

References, 55

Exercises, 55

4 Heuristic Methods for the Single-Machine Problem 57

4.1 Introduction, 57

4.2 Dispatching and Construction Procedures, 58

4.3 Random Sampling, 63

4.4 Neighborhood Search Techniques, 66

4.5 Tabu Search, 70

4.6 Simulated Annealing, 72

4.7 Genetic Algorithms, 74

4.8 The Evolutionary Solver, 75

4.9 Summary, 79

References, 81

Exercises, 81

5 Earliness and Tardiness Costs86

5.1 Introduction, 86

5.2 Minimizing Deviations from a Common Due Date, 88

5.2.1 Four Basic Results, 88

5.2.2 Due Dates as Decisions, 93

5.3 The Restricted Version, 94

5.4 Asymmetric Earliness and Tardiness Costs, 96

5.5 Quadratic Costs, 99

5.6 Job-Dependent Costs, 100

5.7 Distinct Due Dates, 101

5.8 Summary, 104

References, 105

Exercises, 105

6 Sequencing for Stochastic Scheduling 108

6.1 Introduction, 108

6.2 Basic Stochastic Counterpart Models, 109

6.3 The Deterministic Counterpart, 115

6.4 Minimizing the Maximum Cost, 117

6.5 The Jensen Gap, 122

6.6 Stochastic Dominance and Association, 123

CONTENTSvii

6.7 Using Risk Solver, 127

6.8 Summary, 132

References, 134

Exercises, 134

7 Safe Scheduling137

7.1 Introduction, 137

7.2 Meeting Service-Level Targets, 138

7.3 Trading Off Tightness and Tardiness, 141

7.4 The Stochastic E/T Problem, 145

7.5 Setting Release Dates, 149

7.6 The StochasticU-Problem: A Service-Level Approach, 152

7.7 The StochasticU-Problem: An Economic Approach, 156

7.8 Summary, 160

References, 161

Exercises, 162

8 Extensions of the Basic Model165

8.1 Introduction, 165

8.2 Nonsimultaneous Arrivals, 166

8.2.1 Minimizing the Makespan, 169

8.2.2 Minimizing Maximum Tardiness, 171

8.2.3 Other Measures of Performance, 172

8.3 Related Jobs, 174

8.3.1 Minimizing Maximum Tardiness, 175

8.3.2 Minimizing Total Flowtime with Strings, 176

8.3.3 Minimizing Total Flowtime with Parallel Chains, 178

8.4 Sequence-Dependent Setup Times, 181

8.4.1 Dynamic Programming Solutions, 183

8.4.2 Branch and Bound Solutions, 184

8.4.3 Heuristic Solutions, 189

8.5 Stochastic Models with Sequence-Dependent Setup Times, 190

8.5.1 Setting Tight Due Dates, 191

8.5.2 Revisiting the Tightness/Tardiness Trade-off, 192

8.6 Summary, 195

References, 196

Exercises, 197

9 Parallel-Machine Models200

PRINCIPLES OFSEQUENCING ANDSCHEDULING

PRINCIPLES OFSEQUENCING ANDSCHEDULING

Kenneth R. Baker

Tuck School of Business

Dartmouth College

Hanover, New Hampshire

Dan Trietsch

College of Engineering

American University of Armenia

Yerevan, Armenia

A JOHN WILEY & SONS, INC. PUBLICATION

CopyrightC?2009 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

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, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior

written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to

the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission

should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken,

NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions.

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in

preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and speciÞcally disclaim any implied warranties of

merchantability or Þtness for a particular purpose. No warranty may be created or extended by sales

representatives or written sales materials. The advice andstrategies contained herein may not be suitable

for your situation. You should consult with a professional where appropriate. Neither the publisher nor

author shall be liable for any loss of proÞt or any other commercial damages, including but not limited to

special, incidental, consequential, or other damages.

For general information on our other products and services or for technical support, please contact our

Customer Care Department within the United States at (800) 762-2974, outside the United States at (317) 572-3993 or fax (317) 572-4002.

Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may

not be available in electronic formats. For more information about Wiley products, visit our web site at

www.wiley.com. Library of Congress Cataloging-in-Publication Data:

Baker, Kenneth R., 1943 Ð

Principles of sequencing and scheduling / Kenneth R. Baker, Dan Trietsch. p. cm.

Includes bibliographical references and index.

ISBN 978-0-470-39165-5 (cloth)

1. Production scheduling. I. Trietsch, Dan. II. Title.

TS157.5.B35 2009

658.5
?3Ðdc222008041829

Printed in the United States of America

10 9 8 7 6 5 4 3 2 1

CONTENTS

Prefacexiii

1 Introduction1

1.1 Introduction to Sequencing and Scheduling, 1

1.2 Scheduling Theory, 3

1.3 Philosophy and Coverage of the Book, 6

References, 8

2 Single-Machine Sequencing10

2.1 Introduction, 10

2.2 Preliminaries, 11

2.3 Problems Without Due Dates: Elementary Results, 15

2.3.1 Flowtime and Inventory, 15

2.3.2 Minimizing Total Flowtime, 16

2.3.3 Minimizing Total Weighted Flowtime, 19

2.4 Problems with Due Dates: Elementary Results, 21

2.4.1 Lateness Criteria, 21

2.4.2 Minimizing the Number of Tardy Jobs, 24

2.4.3 Minimizing Total Tardiness, 25

2.4.4 Due Dates as Decisions, 29

2.5 Summary, 31

References, 31

Exercises, 32

v viCONTENTS

3 Optimization Methods for the Single-Machine Problem 34

3.1 Introduction, 34

3.2 Adjacent Pairwise Interchange Methods, 36

3.3 A Dynamic Programming Approach, 37

3.4 Dominance Properties, 43

3.5 A Branch and Bound Approach, 47

3.6 Summary, 53

References, 55

Exercises, 55

4 Heuristic Methods for the Single-Machine Problem 57

4.1 Introduction, 57

4.2 Dispatching and Construction Procedures, 58

4.3 Random Sampling, 63

4.4 Neighborhood Search Techniques, 66

4.5 Tabu Search, 70

4.6 Simulated Annealing, 72

4.7 Genetic Algorithms, 74

4.8 The Evolutionary Solver, 75

4.9 Summary, 79

References, 81

Exercises, 81

5 Earliness and Tardiness Costs86

5.1 Introduction, 86

5.2 Minimizing Deviations from a Common Due Date, 88

5.2.1 Four Basic Results, 88

5.2.2 Due Dates as Decisions, 93

5.3 The Restricted Version, 94

5.4 Asymmetric Earliness and Tardiness Costs, 96

5.5 Quadratic Costs, 99

5.6 Job-Dependent Costs, 100

5.7 Distinct Due Dates, 101

5.8 Summary, 104

References, 105

Exercises, 105

6 Sequencing for Stochastic Scheduling 108

6.1 Introduction, 108

6.2 Basic Stochastic Counterpart Models, 109

6.3 The Deterministic Counterpart, 115

6.4 Minimizing the Maximum Cost, 117

6.5 The Jensen Gap, 122

6.6 Stochastic Dominance and Association, 123

CONTENTSvii

6.7 Using Risk Solver, 127

6.8 Summary, 132

References, 134

Exercises, 134

7 Safe Scheduling137

7.1 Introduction, 137

7.2 Meeting Service-Level Targets, 138

7.3 Trading Off Tightness and Tardiness, 141

7.4 The Stochastic E/T Problem, 145

7.5 Setting Release Dates, 149

7.6 The StochasticU-Problem: A Service-Level Approach, 152

7.7 The StochasticU-Problem: An Economic Approach, 156

7.8 Summary, 160

References, 161

Exercises, 162

8 Extensions of the Basic Model165

8.1 Introduction, 165

8.2 Nonsimultaneous Arrivals, 166

8.2.1 Minimizing the Makespan, 169

8.2.2 Minimizing Maximum Tardiness, 171

8.2.3 Other Measures of Performance, 172

8.3 Related Jobs, 174

8.3.1 Minimizing Maximum Tardiness, 175

8.3.2 Minimizing Total Flowtime with Strings, 176

8.3.3 Minimizing Total Flowtime with Parallel Chains, 178

8.4 Sequence-Dependent Setup Times, 181

8.4.1 Dynamic Programming Solutions, 183

8.4.2 Branch and Bound Solutions, 184

8.4.3 Heuristic Solutions, 189

8.5 Stochastic Models with Sequence-Dependent Setup Times, 190

8.5.1 Setting Tight Due Dates, 191

8.5.2 Revisiting the Tightness/Tardiness Trade-off, 192

8.6 Summary, 195

References, 196

Exercises, 197

9 Parallel-Machine Models200


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