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Energy-cost-aware flow-shop scheduling systems with state-dependent energy consumptions

Abstract : The necessity of managing a production system with less cost and pollution in such a competitive world has enticed the attention of many researchers. This paper deals with a multi-state two-machine flow-shop scheduling problem under Time-Of-Use electricity tariffs. The main issue is to assign a set of jobs to available time slots with different energy costs to minimize the total energy consumption costs. For this purpose, a new linear programming (LP) model is proposed, and several numerical results are solved using CPLEX Studio 12.9.0 solver to evaluate the effciency of the proposed model for the problem. The obtained results demonstrate that CPLEX solver is not able to find the optimal solution for the problems as large as 20 jobs and 90 periods during the 3600 seconds time limitation.
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https://hal-utt.archives-ouvertes.fr/hal-02547427
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Monday, April 20, 2020 - 7:30:55 AM
Last modification on : Tuesday, April 21, 2020 - 1:49:11 AM

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Mohammad Mohsen Aghelinejad, Yassine Ouazene, Alice Yalaoui. Energy-cost-aware flow-shop scheduling systems with state-dependent energy consumptions. International Conference on Sustainable Energy and Green Technology 2019, Dec 2019, Bangkok, Thailand. pp.012163, ⟨10.1088/1755-1315/463/1/012163⟩. ⟨hal-02547427⟩

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