Publication : Motivations for multi behavior agents in supply chain planning
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In today’ industrial context competitiveness is closely associated to supply chain performance. Coordiantion between production partners is essential in supply chains to deliver products on time to final clients. As perturbations occur all the time, production centers have to react quickly correct deviances and create new plans, while coordinating changes with partners. Agent-based technology provides a natural approach to model supply chain networks and describe specialized planning agents. To coordinate and optimize their production plan, agents ue specify the heuristic parameters a priori, at the time of their design and prior to their use. The solution proposed here is to give agents the opportunity to change these parameters, modifying their planning behaviors following the environmental conditions met. Using simulation, agents can identify optimal team behaviors for the supply chain in different situations. This paper explains the methodology followed to experiment multi-behavior agents and presents results from an application to the lumber supply chain.