Multi-Objective-Management-in-Freight-Logistics.pdf

Multi-objective Management in Freight Logistics

Massimiliano Caramia • Paolo Dell’Olmo

Multi-objective Management

in Freight Logistics

Increasing Capacity, Service Level and Safety

with Optimization Algorithms

1 3

Massimiliano Caramia, PhD

Università di Roma “Tor Vergata”

Dipartimento di Ingegneria dell’Impresa

Via del Politecnico, 1

00133 Roma

Italy

Paolo Dell’Olmo, PhD

Università di Roma “La Sapienza”

Dipartimento di Statistica, Probabilità

e Statistiche Applicate

Piazzale Aldo Moro, 5

00185 Roma

Italy

ISBN 978-1-84800-381-1

e-ISBN 978-1-84800-382-8

DOI 10.1007/978-1-84800-382-8

British Library Cataloguing in Publication Data

Caramia, Massimiliano

Multi-objective management in freight logistics :

increasing capacity, service level and safety with

optimization algorithms

1. Freight and freightage - Mathematical models 2. Freight

and freightage - Management 3. Business logistics

I. Title II. Dell'Olmo, Paolo, 1958-

388'.044'015181

ISBN-13: 9781848003811

Library of Congress Control Number: 2008935034

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

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specific statement, that such names are exempt from the relevant laws and regulations and therefore free for

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The publisher makes no representation, express or implied, with regard to the accuracy of the information

contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that

may be made.

Cover design: eStudio Calamar S.L., Girona, Spain

Printed on acid-free paper

9 8 7 6 5 4 3 2 1

springer.com

Preface

The content of this book is motivated by the recent changes in global markets and the

availability of new transportation services. Indeed, the complexity of current supply

chains suggests to decision makers in logistics to work with a set of efﬁcient (Pareto-

optimal) solutions, mainly to capture different economical aspects that, in general,

one optimal solution related to a single objective function is not able to capture en-

tirely. Motivated by these reasons, we study freight transportation systems with a

speciﬁc focus on multi-objective modelling. The goal is to provide decision mak-

ers with new methods and tools to implement multi-objective optimization models

in logistics. The book combines theoretical aspects with applications, showing the

advantages and the drawbacks of adopting scalarization techniques, and when it is

worthwhile to reduce the problem to a goal-programming one. Also, we show ap-

plications where more than one decision maker evaluates the effectiveness of the

logistic system and thus a multi-level programming is sought to attain meaningful

solutions. After presenting the general working framework, we analyze logistic is-

sues in a maritime terminal. Next, we study multi-objective route planning, relying

on the application of hazardous material transportation. Then, we examine freight

distribution on a smaller scale, as for the case of goods distribution in metropolitan

areas. Finally, we present a human-workforce problem arising in logistic platforms.

The general approach followed in the text is that of presenting mathematics, algo-

rithms and the related experimentations for each problem.

Rome,

Massimiliano Caramia

May 2008

Paolo Dell’Olmo

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