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A framework for locating logistic facilities with multi-criteria decision analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

Locating logistic facilities, such as plants and distribution centres, in an optimal way, is a crucial decision for manufacturers, particularly those that are operating in large developing countries which are experiencing a process of fast economic change. Traditionally, such decisions have been supported by optimising network models, which search for the configuration with the minimum total cost. In practice, other intangible factors, which add or reduce value to a potential configuration, are also important in the location choice. We suggest in this paper an alternative way to analyse such problems, which combines the value from the topology of a network (such as total cost or resilience) with the value of its discrete nodes (such as specific benefits of a particular location). In this framework, the focus is on optimising the overall logistic value of the network. We conclude the paper by discussing how evolutionary multi-objective methods could be used for such analyses.

Original languageEnglish
Title of host publicationEvolutionary Multi-Criterion Optimization - 6th International Conference, EMO 2011, Proceedings
Pages505-519
Number of pages15
DOIs
StatePublished - 2011
Externally publishedYes
Event6th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2011 - Ouro Preto, Brazil
Duration: 5 Apr 20118 Apr 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6576 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2011
Country/TerritoryBrazil
CityOuro Preto
Period5/04/118/04/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 1 - No Poverty
    SDG 1 No Poverty

Keywords

  • facility location
  • logistics
  • multi-attribute value theory
  • multi-criteria analysis
  • multi-objective optimisation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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