Multi-objective Management in Freight Logistics (eBook)
XVI, 187 Seiten
Springer London (Verlag)
978-1-84800-382-8 (ISBN)
Massimiliano Caramia is currently an Associate Professor working for the Faculty of Engineering at the Università di Roma 'Tor Vergata'.
Paulo Dell'Olmo works for the Università di Roma 'La Sapienza' in its Department of Statistics, Probability and Applied Statistics.
Thecontentofthisbookismotivatedbytherecentchangesinglobalmarketsandthe availability of new transportation services. Indeed, the complexity of current supply chains suggests todecision makers in logisticsto work witha set ofef?cient (Pare- 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 - tirely. Motivated by these reasons, we study freight transportation systems with a speci?c focus on multi-objective modelling. The goal is to provide decision m- 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 - 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 - 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, al- rithms and the related experimentations for each problem.
Massimiliano Caramia is currently an Associate Professor working for the Faculty of Engineering at the Università di Roma "Tor Vergata". Paulo Dell'Olmo works for the Università di Roma "La Sapienza" in its Department of Statistics, Probability and Applied Statistics.
Preface 5
Acknowledgements 6
Contents 7
List of Figures 11
List of Tables 13
Chapter 1 Introduction 15
1.1 Freight Distribution Logistic 15
Chapter 2 Multi-objective Optimization 24
2.1 Multi-objective Management 24
2.2 Multi-objective Optimization and Pareto-optimal Solutions 25
2.3 Techniques to Solve Multi-objective Optimization Problems 27
2.4 Multi-objective Optimization Integer Problems 38
2.5 Multi-objective Combinatorial Optimization by Metaheuristics 47
Chapter 3 Maritime Freight Logistics 50
3.1 Capacity and Service Level in a Maritime Terminal 50
3.2 Final Remarks and Perspectives on Multi-objective Scenarios 63
3.3 Container Allocation in a Maritime Terminal and Scheduling of Inspection Operations 64
3.4 Scheduling of Customs Inspections 69
3.5 Experimental Results 73
Chapter 4 Hazardous Material Transportation Problems 78
4.1 Introduction 78
4.2 Multi-objective Approaches to Hazmat Transportation 81
4.3 Risk Evaluation in Hazmat Transportation 85
4.4 The Equity and the Search for Dissimilar Paths 93
4.5 The Hazmat Transportation on Congested Networks 102
4.6 The Problem of Balancing the Risk 111
4.7 Bi-level Optimization Approaches to Hazmat Transportation 113
Chapter 5 Central Business District Freight Logistic 115
5.1 Introduction 116
5.2 Problem Description 117
5.3 Solution Strategies 123
5.4 Conclusions 131
Chapter 6 Heterogeneous Staff Scheduling in LogisticPlatforms 133
6.1 Introduction 133
6.2 The HeterogeneousWorkforce Scheduling Problem 138
6.3 Constraints and Objective Functions of the CHWSP 138
6.4 Simulated Annealing: General Presentation 143
6.5 Our Simulated Annealing Algorithm 149
6.6 Experimental Results 152
6.7 Conclusions 159
Appendix A AMPL Code: The Container-allocation Problem 161
Appendix B AMPL Code: The Inspection Scheduling Problem 163
Appendix C Code in the C Language: The Iterative Penalty Method Algorithm 164
Appendix D Code in the C Language: The P-Dispersion Algorithm 173
References 184
Index 195
Erscheint lt. Verlag | 29.8.2008 |
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Zusatzinfo | XVI, 187 p. 32 illus. |
Verlagsort | London |
Sprache | englisch |
Themenwelt | Technik ► Bauwesen |
Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion | |
Wirtschaft ► Betriebswirtschaft / Management ► Planung / Organisation | |
Schlagworte | Distribution • Engineering Economics • Freight Management • Intermodal Transportation • logistics • Optimisation Algorithms • Optimization • Scheduling • Service Design • Transport |
ISBN-10 | 1-84800-382-X / 184800382X |
ISBN-13 | 978-1-84800-382-8 / 9781848003828 |
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