The deployment of modern information and communication technologies within manufacturing systems leads to the creation of so called cyber-physical production systems that consist of intelligent interconnected production facilities. One of the expected features of cyber-physical production systems is found to be the capability of self-organization and decentralized process planning in manufacturing.
To determine the functionality as well as the benefit of different self-organization concepts a virtual test field for the simulation of manufacturing systems is implemented based on a multi-agent system modeling concept. Special focus is laid on the impact on energy consumption of the machine tools in the different scenarios.
The presented simulation approach is applied to a manufacturing system for discrete part production in a job shop. Focus is centered on the process planning, especially the machine tool selection. The comparison of different strategies for machine tool selection of the product agents shows the potential of energy reduction in manufacturing by a product driven process planning concept that is based on communication between machine tools and product orders. Results of several simulations runs indicate that rather the flexible mixture of different selection criteria than the use of one single criterion leads to good performance of the overall system.