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
Buch | Softcover
187 Seiten
2010 | Softcover reprint of hardcover 1st ed. 2008
Springer London Ltd (Verlag)
978-1-84996-796-9 (ISBN)
119,99 inkl. MwSt
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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.

Introduction


Multi-objective Optimization


Maritime Freight Logistics


Hazardous Material Transportation Problems


Central Business District Freight Logistic


Heterogeneous Staff Scheduling in Logistic Platforms


Appendix A: AMPL Code: The Container Allocation Problem


Appendix B: AMPL Code: The Inspection Scheduling Problem


Appendix C: Code in the C Language: The Iterative Penalty Method Algorithm


Appendix D: Code in the C Language: The P-Dispersion Algorithm

Erscheint lt. Verlag 13.10.2010
Zusatzinfo 36 Tables, black and white; 32 Illustrations, black and white; XVI, 187 p. 32 illus.
Verlagsort England
Sprache englisch
Maße 155 x 235 mm
Gewicht 320 g
Themenwelt Technik Elektrotechnik / Energietechnik
Wirtschaft Betriebswirtschaft / Management Logistik / Produktion
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
ISBN-10 1-84996-796-2 / 1849967962
ISBN-13 978-1-84996-796-9 / 9781849967969
Zustand Neuware
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