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A community of agents as a tool to optimize industrial districts logistics

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Listed:
  • Tiso, Annamaria
  • Dell'Orco, Mauro
  • Sassanelli, Domenico

Abstract

The aim of this paper is to find an optimal solution to operational planning of freight transportation in an industrial district. We propose a system architecture that drives agents - the industrial district firms - to cooperate in logistic field, to minimize transport and environmental costs. The idea is to achieve logistics optimization setting up a community made of district enterprises, preserving a satisfactory level of system efficiency and fairness. We address the situation in which a virtual coordinator helps the agents to reach an agreement. The objectives are: maximizing customer’s satisfaction, and minimizing the number of trucks needed. A fuzzy clustering (FCM), two Fuzzy Inference System (FIS) combined with a Genetic Algorithm (GA), and a greedy algorithm is thus proposed to achieve these objectives, and eventually an algorithm to solve the Travelling Salesman Problem is also used. The proposed framework can be used to provide real time solutions to logistics management problems, and negative environmental impacts.

Suggested Citation

  • Tiso, Annamaria & Dell'Orco, Mauro & Sassanelli, Domenico, 2010. "A community of agents as a tool to optimize industrial districts logistics," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 46, pages 36-51.
    • Handle: RePEc:sot:journl:y:2010:i:46:p:36-51
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    File URL: http://hdl.handle.net/10077/6164
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    References listed on IDEAS

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    2. Carbonara, Nunzia & Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2002. "Supply chains within industrial districts: A theoretical framework," International Journal of Production Economics, Elsevier, vol. 76(2), pages 159-176, March.
    3. P. Korhonen, 1998. "Multiple Objective Programming Support," Working Papers ir98010, International Institute for Applied Systems Analysis.
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