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 language | English |
|---|---|
| Title of host publication | Evolutionary Multi-Criterion Optimization - 6th International Conference, EMO 2011, Proceedings |
| Pages | 505-519 |
| Number of pages | 15 |
| DOIs | |
| State | Published - 2011 |
| Externally published | Yes |
| Event | 6th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2011 - Ouro Preto, Brazil Duration: 5 Apr 2011 → 8 Apr 2011 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 6576 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 6th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2011 |
|---|---|
| Country/Territory | Brazil |
| City | Ouro Preto |
| Period | 5/04/11 → 8/04/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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