Massimiliano Caramia, Paolo Dell'Olmo

Multi-objective Management in Freight Logistics (eBook, PDF)

Increasing Capacity, Service Level, Sustainability, and Safety with Optimization Algorithms

• Format: PDF

Produktbeschreibung

The second edition of Multi-Objective Management in Freight Logistics builds upon the first, providing a detailed study of freight transportation systems, with a specific focus on multi-objective modelling. It offers decision-makers methods and tools for implementing multi-objective optimisation models in logistics. The second edition also includes brand-new chapters on green supply chain and hybrid fleet management problems. After presenting the general framework and multi-objective optimization, the book analyses green logistic focusing on two main aspects: green corridors and network design; next, it studies logistic issues in a maritime terminal and route planning in the context of hazardous material transportation. Finally, heterogeneous fleets distribution and coordination models are discussed. The book presents problems providing the mathematics, algorithms, implementations, and the related experimentsfor each problem. It offers a valuable resource for postgraduate students and researchers in transportation, logistics and operations, as well as practitioners working in service systems.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 196
• Erscheinungstermin: 30. Juli 2020
• Englisch
• ISBN-13: 9783030508128
• Artikelnr.: 59899178

Autorenporträt

Massimiliano Caramia is Full Professor in Operations Research at the Department of Enterprise Engineering, Università di Roma "Tor Vergata", Italy.

Paolo Dell'Olmo is Full Professor in Operations Research at the Department of Statistics, Sapienza Università di Roma, Italy.

Inhaltsangabe

Introduction.- Multi-objective Optimization.- Maritime Freight Logistics.- Hazardous Material Transportation Problems.- Central Business District Freight Logistic.- Heterogeneous Staff Scheduling in Logistic Platforms.- Waste Collection Management.- Adoption of Hybrid Fleets in a Multi-Objective Environment.