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Towards Energy Efficient Scheduling and Rescheduling for Dynamic Flexible Job Shop Problem

Abstract : 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.
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Submitted on : Friday, October 29, 2021 - 4:11:49 PM
Last modification on : Wednesday, November 3, 2021 - 4:00:51 AM

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Maroua Nouiri, Abdelghani Bekrar, Damien Trentesaux. Towards Energy Efficient Scheduling and Rescheduling for Dynamic Flexible Job Shop Problem. 16th IFAC Symposium on Information Control Problems in Manufacturing, Jun 2018, Bergamo, Italy. pp.1275-1280, ⟨10.1016/j.ifacol.2018.08.357⟩. ⟨hal-03409367⟩

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