期刊
IFAC PAPERSONLINE
卷 51, 期 11, 页码 1275-1280出版社
ELSEVIER
DOI: 10.1016/j.ifacol.2018.08.357
关键词
sustainability; energy consumption; Rescheduling; FJSP; machine Breakdowns; PSO
资金
- European Union with the European Regional Development Fund
- French state
- Hauts de France Region Council
Nowadays the migration to green manufacturing is the interest of many companies. Taken into account sustainability in all industrial activities is the main goal of sustainable intelligent manufacturing system. In recent years, the demand for energy and the investment in energy have continued to increase. This work addresses reducing energy consumption when resolving dynamic flexible job-shop scheduling problem under machine breakdowns. A new rescheduling method is proposed to find a reschedule with minimum makespan and with less global energy consumption. The predictive reactive approach is based Particle Swarm Optimization method. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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