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

Montibeller, Gilberto and Yoshizaki, Hugo T. Y. (2011) A framework for locating logistic facilities with multi-criteria decision analysis. In: Lecture Notes in Computing Science. Evolutionary multi-criterion optimization. Springer Berlin / Heidelberg, pp. 505-519. ISBN 9783642198922

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Identification Number: 10.1007/978-3-642-19893-9_35

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.

Item Type: Book Section
Official URL: http://www.springer.com/computer/lncs?SGWID=0-164-...
Additional Information: © 2011 Springer Verlag
Divisions: Management
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Date Deposited: 20 May 2011 10:39
Last Modified: 20 Feb 2024 20:45
URI: http://eprints.lse.ac.uk/id/eprint/36247

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