Multi-Agent model for a distributed logistic system

Problems approached by logistic system are typically complex in particular the planning of a distributed logistic system which is a complex process implying several constraints. Among these constraints we can mention: cooperation between the different organizational entities of the system, the hold in consideration of the diversity of the nature of the product routed and the category of the client targeted. This paper introduces a new multi-agent modeling approach; our model represents a distributed logistic system. Flows are forwarded from a zone to the other one by way of a strategic transport. The needs in flows (medicines flow, clothes flow, foods flow...) are indicated by information system placed in every zone. We want to optimize the routing of these flows from one zone to another as well as to satisfy the needs in every zone, knowing that these needs are different according to several criteria among which we mention: features of the geographic zone, the nature of the stocks, the stricken individuals in every zone. Indeed, these problems bring us to study several approaches: (1) multi-agent system, (2) optimisation methods, (3) fuzzy logic approach, and (4) statistics estimators. In this paper we propose the multi-agent technology and the fuzzy estimators as potential solutions for the resolution of this kind of problems