Job-shop like manufacturing system with variable power threshold and operations with power requirements
Autor: | Nikolay Tchernev, Damien Lamy, S. Kemmoe |
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Přispěvatelé: | Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0209 industrial biotechnology
Engineering Mathematical optimization 021103 operations research business.industry Job shop Strategy and Management 0211 other engineering and technologies Scheduling (production processes) 02 engineering and technology [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Management Science and Operations Research Solver Manufacturing systems Industrial and Manufacturing Engineering 020901 industrial engineering & automation Machining Completion time business Integer programming Metaheuristic ComputingMilieux_MISCELLANEOUS |
Zdroj: | International Journal of Production Research International Journal of Production Research, Taylor & Francis, 2017, 55 (20), pp.6011-6032. ⟨10.1080/00207543.2017.1321801⟩ International Journal of Production Research, 2017, 55 (20), pp.6011-6032. ⟨10.1080/00207543.2017.1321801⟩ |
ISSN: | 0020-7543 1366-588X |
DOI: | 10.1080/00207543.2017.1321801⟩ |
Popis: | This paper addresses an important issue in manufacturing by considering the scheduling of a Job-shop like manufacturing system involving a power threshold that must not be exceeded over time. A power profile is attached to operations that must be scheduled. This power profile presents a consumption peak at the start of process in order to model most of real-world machining operations. These operations must be scheduled according to the instantly available power threshold. A mathematical formulation of the problem is proposed; its main goal is to minimise the total completion time of all operations. A set of instances is built based on classical format of instances for the Job-shop problem. As it is time-consuming to obtain exact solutions on these instances with the CPLEX solver, a Greedy Randomised Adaptive Search Procedure hybridised with an Evolutionary Local Search (GRASP × ELS) metaheuristic is designed. The GRASP × ELS is compared with two other metaheuristics: a Variable Neighbourhood Search and a ... |
Databáze: | OpenAIRE |
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