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, Multi-objective Management in Freight Logistics provides a detailed study of freight transportation systems, with a specific focus on multi-objective modeling. The book provides decision makers with new methods and tools to implement multi-objective optimization models in logistics, combining 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. TOC: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.