Multi-objective Management in Freight Logistics
Autor Massimiliano Caramia, Paolo Dell'Olmoen Limba Engleză Hardback – 31 iul 2020
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 experiments for each problem. It offers avaluable resource for postgraduate students and researchers in transportation, logistics and operations, as well as practitioners working in service systems.
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Specificații
ISBN-13: 9783030508111
ISBN-10: 3030508110
Pagini: 212
Ilustrații: XVI, 196 p. 46 illus., 23 illus. in color.
Dimensiuni: 160 x 241 x 18 mm
Greutate: 0.49 kg
Ediția:Second Edition 2020
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030508110
Pagini: 212
Ilustrații: XVI, 196 p. 46 illus., 23 illus. in color.
Dimensiuni: 160 x 241 x 18 mm
Greutate: 0.49 kg
Ediția:Second Edition 2020
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
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.
Paolo Dell'Olmo is Full Professor in Operations Research at the Department of Statistics, Sapienza Università di Roma, Italy.
Textul de pe ultima copertă
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.
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.
Caracteristici
Presents a comprehensive overview of freight transportation systems and multi-objective modelling Expands on the previous edition with new chapters on waste collection and hybrid fleet management Offers both mathematical and tactical perspectives on the problems discussed
Descriere
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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.
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.