Optimization of order picker path based on agent communication in warehouse logistics

This paper presents an Optimizer Based Agent Communication of Operator Work plan in Warehouse (OBACO2W).Order pickers, using the pick by voice technique, receive and execute the orders sent by the Warehouse Management System (WMS). The purpose of logistics is to establish efficient and satisfy customers’ requirement. So, we aim to enhance workers’ productivity by assigning to the order pickers the shortest path for the picking mission. Modeling multi-agent problem can be divided into skills and knowledge to autonomous entities called agents, to provide links and dialogue between these entities by means of communication and interaction. In a multi-agent system, the change of status of certain objects in the environment of change agents can affect their behavior and decisions. Thus, to optimize their choices and to guide their decisions taken, these agents can be equipped with optimization approaches suited to their skills and knowledge. Hence the alliance between the multi-agent systems and optimization methods; these two approaches are different but perfectly complementary.