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Scheduling policies considering both production duration and energy consumption criteria for environmental management

Abstract : We present the challenges of environmental management and underline the importance of an energy saving policy for companies. We propose a model to determine the energy balance of manufacturing by integrating the different productive and non-productive phases. We define two purposes for minimizing production time and energy consumption. We apply this model to the scheduling of flexible job-shop workshops. To determine the optimal solution we use two types of methods: - The first is genetic algorithms. We propose different types of algorithms to solve this multi-criteria problem. For example, we propose to develop two populations to minimize the energy consumed and the production time, and to cross them to achieve the overall objective. - The second is constraint programming. We propose to find the optimal solution by developing a double tree to evaluate the energy consumed and the production time. We build our algorithm starting from the tasks to be performed on the machines or from the machines that will perform the tasks. We discuss the construction of the Pareto front to get the best solution.We finish by comparing the different approaches and discussing their relevance to deal with problems of different sizes. We also offer several improvements and some leads for future research.
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https://tel.archives-ouvertes.fr/tel-02058816
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Submitted on : Wednesday, March 6, 2019 - 10:54:06 AM
Last modification on : Wednesday, March 4, 2020 - 12:28:03 PM
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2018CLFAC028_AL_QASEER.pdf
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  • HAL Id : tel-02058816, version 1

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Firas Abdulmajeed Al-Qaseer. Scheduling policies considering both production duration and energy consumption criteria for environmental management. Environmental Engineering. Université Clermont Auvergne, 2018. English. ⟨NNT : 2018CLFAC028⟩. ⟨tel-02058816⟩

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