Cyber-Physical Systems network to support decision making for self-adaptive production system

Nowadays, recent trends and challenges around industry focus on new enablers for distributed control of manufacturing products and processes. They aim to cope with transition from full parts quality control to continue manufacturing operations control on the part and the resources as well. The objective in this paper is to propose a new self-adaptive Cyber-Physical System enabling control on manufacturing operations. The research problem is to face the gap between the need to support production data changeability and the evolution of manufacturing resources properties and performances. The proposed contribution promotes the Cyber-Physical Systems as a collective decision making support for self-adaptive production systems. Multi Agent Systems are deployed as new layer to take advantage of the decentralized CPSs physical abilities to monitor their environment. This solution makes it possible to integrate real-time workshop status information into the decision-making process. The originality of the contribution consists in involving servitized Cyber-Physical Systems in the decision making process.