@inproceedings{4b007024964c4be1bea0a2a05364a738,
title = "Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival",
abstract = "This paper investigated a dynamic rescheduling problem for a flexible machining system with random machine breakdown and urgent job arrivals. The energy consumption characteristics of the machining system is explicitly analyzed by considering multiple flexibilities with related to process routes and machine tool selection as well as dynamic events. Then a multi-objective optimization model of dynamic rescheduling is presented to take minimum energy consumption and minimum makespan as objectives, which is solved by a MOGSA algorithm. Case studies with random urgent job arrival and machine breakdown are implemented and the experimental results show that the proposed approach is effective for energy saving through rescheduling.",
author = "Yang Kou and Congbo Li and Li Li and Ying Tang and Xiaoou Li",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 ; Conference date: 06-10-2019 Through 09-10-2019",
year = "2019",
month = oct,
doi = "10.1109/SMC.2019.8914436",
language = "English (US)",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "409--414",
booktitle = "2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019",
address = "United States",
}