A Framework for Locating Logistic Facilities with Multi-Criteria Decision Analysis

  • Gilberto Montibeller
  • Hugo Yoshizaki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6576)


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.


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


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Gilberto Montibeller
    • 1
  • Hugo Yoshizaki
    • 2
  1. 1.Management Science Group, Dept. of ManagementLondon School of EconomicsEnglandUnited Kingdom
  2. 2.Dept. of Production EngineeringUniversity of Sao PauloBrazil

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