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.
Caramia / Dell'Olmo
Dell'Olmo, P: Multi-objective Management in Freight Logistic jetzt bestellen!
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Weitere Infos & Material
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.
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.
