| contributor author | Ilsen, Rebecca | |
| contributor author | Meissner, Hermann | |
| contributor author | Aurich, Jan C. | |
| date accessioned | 2017-11-25T07:20:31Z | |
| date available | 2017-11-25T07:20:31Z | |
| date copyright | 2017/16/2 | |
| date issued | 2017 | |
| identifier issn | 1530-9827 | |
| identifier other | jcise_017_02_021006.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4236508 | |
| description abstract | 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Optimizing Energy Consumption in a Decentralized Manufacturing System | |
| type | Journal Paper | |
| journal volume | 17 | |
| journal issue | 2 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4034585 | |
| journal fristpage | 21006 | |
| journal lastpage | 021006-7 | |
| tree | Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 002 | |
| contenttype | Fulltext | |