Skip to main content
SpringerLink
Log in

Multi-objective Management in Freight Logistics

Increasing Capacity, Service Level and Safety with Optimization Algorithms

  • Book
  • © 2008

Overview

Authors:
  1. Massimiliano Caramia

    1. Dipartimento di Ingegneria dell' Impresa (DII), Università di Roma "Tor Vergata", Roma, Italy

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Paolo Dell´Olmo

    1. La Sapienza Dipto. Statistica, Probabilità e Statistica Applicata, Università di Roma, Roma, Italy

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Provides a detailed study of freight transportation systems, with a specific focus on multi-objective modelling
  • Provides decision makers with new methods and tools to implement multi-objective optimisation models in logistics
  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Introduction

    Pages 1-9

  3. Multi-objective Optimization

    Pages 11-36

  4. Maritime Freight Logistics

    Pages 37-64

  5. Hazardous Material Transportation Problems

    Pages 65-101

  6. Central Business District Freight Logistic

    Pages 103-120

  7. Heterogeneous Staff Scheduling in Logistic Platforms

    Pages 121-148

  8. Back Matter

    Pages 149-187
    Download chapter PDF
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Dipartimento di Ingegneria dell' Impresa (DII), Università di Roma "Tor Vergata", Roma, Italy

    Massimiliano Caramia

  • La Sapienza Dipto. Statistica, Probabilità e Statistica Applicata, Università di Roma, Roma, Italy

    Paolo Dell´Olmo

About the authors

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.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation