E3S Web Conf.
Volume 170, 20206th International Conference on Energy and City of the Future (EVF’2019)
|Number of page(s)||4|
|Section||Energy and Management|
|Published online||28 May 2020|
Speed scaling technique integrated in scheduling of production and maintenance under energy constraints using genetic algorithms
1 Laboratoire Génie Mécanique, Faculté des sciences et Techniques de Fès, Université Sidi Mohammed Ben Abdellah B.P. 2202 - Route d’Imouzzer - Fès, Maroc
2 ECAM-EPMI, 13 Boulevard de l’Hautil, 95092 Cergy-Pontoise, (France)
* Corresponding author: Sadiqiassia@gmail.com
Recently, energy scarcity and environmental pollution have become increasingly serious problems, while the scheduling of energy savings is attracting increasing attention from industries to minimize energy consumption. This article deals with the problem of scheduling production and maintenance under energy constraints in the flow shop. Two mixed binary integer programming models are provided to derive optimal scheduling to minimize total energy consumption (TEC). To solve this problem, we use an approximate method as a genetic algorithm (GA).
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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