Table of Contents

Cover

Title

List of Figures

List of Tables

Glossary

Introduction

1 Preliminaries in Decision-Making

1.1. Introduction
1.2. Decision-making problems
1.3. Optimization modeling of a decision problem
1.4. Game theory modeling of a decision problem
1.5. Allocation methods
1.6. Conclusion

2 Introduction to Supply Chain Management

2.1. Introduction
2.2. Main elements of the supply chain
2.3. Main activities in the supply chain
2.4. Decision levels in the supply chain
2.5. Conclusion

3 The Ordering Problem

3.1. Introduction
3.2. Terminology
3.3. The one supplier–one retailer ordering problem
3.4. The one supplier–multiple retailers ordering problem
3.5. The multiple suppliers–one retailer ordering problem
3.6. The multiple suppliers–multiple retailers ordering problem
3.7. Conclusion

4 The Warehousing Problem

4.1. Introduction
4.2. Problem description
4.3. WP with variable cost/without conflicts
4.4. WP with fixed cost/without conflicts
4.5. WP with variable cost/with conflicts
4.6. WP with fixed cost/with conflicts
4.7. A DSS design for the warehousing problem
4.8. Example
4.9. Answer
4.10. Conclusion

5 Inventory Management

5.1. Introduction
5.2. Definition of inventory management
5.3. Purposes of inventory
5.4. Inventory modeling
5.5. Conclusion

6 The Delivery in the Supply Chain

6.1. Introduction
6.2. The delivery process in the SC
6.3. Problem description
6.4. First Variant: delivery with capacitated trucks
6.5. Second Variant: delivery with time windows
6.6. A real case study: the case of Tunisia
6.7. Alternative resolution approaches for the delivery problem
6.8. A DSS design for the delivery problem
6.9. Conclusion

Bibliography

Index

End User License Agreement

List of Illustrations

1 Preliminaries in Decision-Making

Figure 1.1. Taxonomy of decision-making problems
Figure 1.2. Structure of an optimization problem

2 Introduction to Supply Chain Management

Figure 2.1. Supply chain structure
Figure 2.2. Main classes of warehousing problems
Figure 2.3. An illustration of the warehousing problem
Figure 2.4. A DSS for the SC activities: ordering and delivery

3 The Ordering Problem

Figure 3.1. A supply chain with one supplier and one retailer
Figure 3.2. Supply chain structure
Figure 3.3. A supply chain with one supplier and multiple retailers

4 The Warehousing Problem

Figure 4.1. Main steps of the warehousing problem
Figure 4.2. DSS warehousing interfaces

5 Inventory Management

Figure 5.1. The inventory system
Figure 5.2. The EOQ process

6 The Delivery in the Supply Chain

Figure 6.1. The delivery process in the SC
Figure 6.2. The delivery process in the SC
Figure 6.3. The delivery process in the SC. For a color version of the figure, see www.iste.co.uk/krichen/supplychain.zip
Figure 6.4. Graph modeling of the delivery problem
Figure 6.5. Delivery solution for truck 1 and truck 2
Figure 6.6. Process flow of the delivery problem

List of Tables

1 Preliminaries in Decision-Making

Table 1.1. Classification of the CF papers in terms of the superadditivity

2 Introduction to Supply Chain Management

Table 2.1. Main variants of the ordering problem

3 The Ordering Problem

Table 3.1. Alternative ordering problems with respect to the supply chain taxonomy
Table 3.2. Inputs/outputs for a one supplier–one retailer ordering problem
Table 3.3. Inputs/outputs for a (1, 3)-ordering problem
Table 3.4. Inputs/outputs of the m – n ordering problem

4 The Warehousing Problem

Table 4.1. Warehousing problem configurations in terms of cost and item conflicts
Table 4.2. Economic-order quantities and total costs for the stand-alone position

First published 2016 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.

Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:

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The rights of Saoussen Krichen and Sihem Ben Jouida to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.

Library of Congress Control Number: 2015954429

British Library Cataloguing-in-Publication Data

A CIP record for this book is available from the British Library

ISSN 2051-2481 (Print)

ISSN 2051-249X (Online)

ISBN 978-1-84821-871-0

Glossary

CFP: coalition formation problem
CLP: continuous linear programming
CS: coalition structure
CSG: coalition structure generation
CVRP: capacitated vehicle routing problem
DM: decision maker
DSS: decision support system
EOQ: economic order quantity
HC: holding cost
HVRP: heterogeneous fleet vehicle routing problem
GA: genetic algorithm
ILP: integer linear programming
MIP: mixed integer programming
OC: ordering cost
PD: payoff division
PDP: pick-up and delivery problem
PC: purchasing cost
SC: supply chain
SCM: supply chain management
TC: total cost
TS: tabu search
VRP: vehicle routing problem
VRPTW: vehicle routing problem with time windows
WP: warehousing problem

Introduction

A supply chain (SC) is a network of different entities or nodes (suppliers, manufacturers, distribution centers, warehouses, stores, etc.) that provide materials, transform them into intermediate or finished products and deliver them to customers to satisfy market requests. Among others, two main factors characterize an SC node: the demand and the productive capacity. The definition of these parameters usually requires a huge effort in terms of data collection. In effect, the information management related to demand and productive capacity is a very complex task characterized by a great number of critical issues: market needs (volumes and production ranges), industrial processes (machine downtimes and transportation modes) and supplies (part quality and delivery schedules). The market demand and the productive capacity also generate a flow of items and finances toward and from the SC nodes. Needless to say, the SC management takes care of the above mentioned issues, studying and optimizing the flow of materials, information and finances along the entire SC. The main goal of a SC manager is to guarantee the correct flows of goods and information throughout the SC nodes to ensure the right goods are at the right place at the right time.