The complexity of modern supply chains requires decision makers in logistics to work with a set of efficient (Pareto optimal) solutions, mainly to catch different economic aspects for which one optimal solution related to a single objective function is not able to capture entirely. Motivated by this, and by recent changes in global markets and the availability of new transportation services, "Multi-objective Management in Freight Logistics" provides a detailed study of freight transportation systems, with a specific focus on multi-objective modeling."Multi-objective Management in Freight Logistics" provides decision makers 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. The book also shows applications where more than one decision maker evaluates the effectiveness of the logistic system and thus a multilevel programming approach is sought to attain meaningful solutions." Multi-objective Management in Freight Logistics" opens by presenting the general working framework, and with analyses of logistic platforms and intermodality management in large scale transportation systems. This is then followed by a study of multi-objective route planning, based on the application of hazardous material transportation. Additionally, the book examines freight distribution on a smaller scale, as in the case of goods distribution in metropolitan areas. The general approach followed by the text is that of presenting both the network design and the tactical (planning) point of view, providing mathematics, algorithms and related experiments for each problem.

Table of Contents

IntroductionMulti-objective OptimizationMaritime Freight LogisticsHazardous Material Transportation ProblemsCentral Business District Freight LogisticHeterogeneous Staff Scheduling in Logistic PlatformsAppendix A: AMPL Code: The Container Allocation ProblemAppendix B: AMPL Code: The Inspection Scheduling ProblemAppendix C: Code in the C Language: The Iterative Penalty Method AlgorithmAppendix D: Code in the C Language: The P-Dispersion Algorithm