A multi-agent system architecture for coordination of just-in-time production and distribution

  • Authors:

  • Paul Davidsson;Fredrik Wernstedt

  • Affiliations:

  • Department of Software Engineering and Computer Science, Blekinge Institute of Technology, Soft Center, 372 25 Ronneby, Sweden e-mail: paul.davidsson@bth.se;Department of Software Engineering and Computer Science, Blekinge Institute of Technology, Soft Center, 372 25 Ronneby, Sweden e-mail: fredrik.wernstedt@bth.se

  • Venue:
  • The Knowledge Engineering Review
  • Year:
  • 2002

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Abstract

A multi-agent system architecture for coordination of just-in-time production and distribution is presented. The problem to solve is twofold: first the right amount of resources at the right time should be produced, then these resources should be distributed to the right consumers. In order to solve the first problem, which is hard when the production and/or distribution time is relatively long, each consumer is equipped with an agent that makes predictions of future needs that it sends to a production agent. The second part of the problem is approached by forming clusters of consumers within which it is possible to redistribute resources fast and at a low cost in order to cope with discrepancies between predicted and actual consumption. Redistribution agents are introduced (one for each cluster) to manage the redistribution of resources. The suggested architecture is evaluated in a case study concerning management of district heating systems. Results from a simulation study show that the suggested approach makes it possible to control the trade-off between quality of service and degree of surplus production. We also compare the suggested approach to a reference control scheme (approximately corresponding to the current approach to district heating management), and conclude that it is possible to reduce the amount of resources produced while maintaining the quality of service. Finally, we describe a simulation experiment where the relation between the size of the clusters and the quality of service was studied.