The deployment of modern information and communication technologies (ICT) 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. The functionality as well as the benefit of such self-organization concepts is yet to be proved. In this paper, the implementation of a virtual test field for the simulation of manufacturing systems based on a multi-agent system modeling concept is presented and used to evaluate a concept of decentralized process planning. Thereby, special focus is laid on the impact on energy consumption. The simulation results show the potential for energy reduction in manufacturing by a decentralized process-planning concept and yields hints for further development of such concepts.
Optimizing Energy Consumption in a Decentralized Manufacturing System
Contributed by the Manufacturing Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received September 29, 2015; final manuscript received August 10, 2016; published online February 16, 2017. Editor: Bahram Ravani.
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Ilsen, R., Meissner, H., and Aurich, J. C. (February 16, 2017). "Optimizing Energy Consumption in a Decentralized Manufacturing System." ASME. J. Comput. Inf. Sci. Eng. June 2017; 17(2): 021006. https://doi.org/10.1115/1.4034585
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