
Multi-objective Management in Freight Logistics
Kurzinformation



inkl. MwSt. Versandinformationen
Artikel zZt. nicht lieferbar
Artikel zZt. nicht lieferbar

Beschreibung
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. von Caramia, Massimiliano und Dell'Olmo, Paolo
Produktdetails

So garantieren wir Dir zu jeder Zeit Premiumqualität.
Über den Autor
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.
- Hardcover
- 332 Seiten
- Erschienen 1993
- Vieweg+Teubner Verlag
- hardcover
- 464 Seiten
- Erschienen 2010
- TCW
- hardcover
- 646 Seiten
- Erschienen 2023
- Springer
- Kartoniert
- 152 Seiten
- Erschienen 2006
- BoD – Books on Demand
- Kartoniert
- 96 Seiten
- Erschienen 2010
- Pearson Longman
- Gebundene Ausgabe
- 607 Seiten
- Erschienen 2020
- Wiley
- hardcover
- 360 Seiten
- Erschienen 2000
- Springer
- Hardcover
- 970 Seiten
- Erschienen 2015
- SAP PRESS