iCoMAS: An Agent-Based System for Cooperative Transportation Planning in the Food Industry

  • Ralf Sprenger
  • Lars Mönch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6867)


In this paper, we describe a cooperative transportation planning problem that is motivated by a real-world setting found in the German food industry. Several manufacturers with joint customers but complementary food products share their fleets to deliver the customers. After an appropriate hierarchical decomposition of the transportation planning problem into subproblems, a set of rich vehicle routing problems with time windows for the delivery of the orders, capacity constraints, maximum operating times for the vehicles, and outsourcing options is obtained. These subproblems are solved by an Ant Colony System (ACS). A multi-agent-system (MAS) is proposed that differentiates between decision-making and staff agents. It improves solutions by exchanging appropriate orders between subproblems. Furthermore, it allows working with local data. Some results of simulation experiments with the MAS are presented.


Logistics Cooperative Transportation Planning Agent-based Decision-support Design of Multi-Agent-Systems Performance Assessment 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ralf Sprenger
    • 1
  • Lars Mönch
    • 1
  1. 1.Chair of Enterprise-wide Software SystemsUniversity of HagenHagenGermany

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