@inproceedings{446ca868e1824ec3bec1d5909add2ad6,
title = "Energy Efficient Process Planning for Resource-Constrained Machining Systems",
abstract = "Traditionally process planning is concerned with reducing energy consumption at a machining process level and is done on the assumption that the manufacturing resources at the shop floor are sufficient and available all the time. This paper presents an energy-efficient process planning approach for resource-constrained machining systems. The interactive effects of process routes and cutting parameters on energy consumption at machining process level and at shop floor level are explicitly analyzed. A multi-objective optimization model of process planning is presented to take minimum energy consumption and minimum makespan as objectives, which is solved by a HBMOA algorithm. The energy saving performance of the proposed process planning approach is demonstrated through case studies.",
author = "Lingling Li and Li Li and Congbo Li and Ying Tang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ; Conference date: 07-10-2018 Through 10-10-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/SMC.2018.00243",
language = "English (US)",
series = "Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1392--1397",
booktitle = "Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018",
address = "United States",
}