Design of Deadlock Avoidance Compensators for Anthropocentric Production Systems

Abstract

The advances in networked industrial enterprises to meet the demands for high productivity level as well as for quality and operational flexibility has driven the development of anthropocentric system that emphasize the importance of human operator. However, greater flexibility and autonomy means greater complexity in the flow of items (material and information) in a system. Thus, this work discusses the concept of Anthropocentric Production Systems (APS) and how it should be implemented do avoid deadlock problem. In particular, the techniques based on Petri nets and Request-Allocation Graphs (RAG) are introduces to the design of deadlock avoidance compensators, employed to support the task of system control program redesign, the only solution in case of extreme changes in the environmental conditions.