GitHub - aaahmed/FJSP-Shutdown: Compromising productivity in exchange for energy-saving does not appeal to highly capitalized manufacturing industries. However, we might be able to maintain the same productivity while significantly reducing the energy-consumption. This paper addresses a flexible job shop scheduling problem with a shutdown (on/off) strategy aiming to minimize makespan plus total energy consumption. First, an existing mixed integer linear programming model in the literature is improved and an alternative model is proposed. Second, novel constraint programming and genetic algorithm are proposed. Third, practical operational scenarios are compared and managerial insight is derived. Finally, we provide benchmarking instances, CPLEX codes, and genetic algorithm codes, in order to promote related-research, thus expediting the adoption of energy-efficient scheduling in manufacturing facilities. The computational study demonstrates (1) the proposed models significantly outperform other benchmark models and (2) we can maintain maximum productivity while significantly reducing energy-consumption up to 20%.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
GA		GA
Instances		Instances
CP1.mod		CP1.mod
CP2.mod		CP2.mod
MIP-2.mod		MIP-2.mod
MIP-2A.mod		MIP-2A.mod
MIP-3.mod		MIP-3.mod
_Behnke_detail.txt		_Behnke_detail.txt
_Behnke_result - CP.txt		_Behnke_result - CP.txt
_Behnke_results.txt		_Behnke_results.txt
_Behnke_scenario_result.txt		_Behnke_scenario_result.txt
_Behnke_scenario_resultdetail.txt		_Behnke_scenario_resultdetail.txt
_Fattahi_detail.txt		_Fattahi_detail.txt
_Fattahi_results.txt		_Fattahi_results.txt
_Fattahi_results_CP2.txt		_Fattahi_results_CP2.txt
_Fattahi_scenario_result.txt		_Fattahi_scenario_result.txt
_Kacem_result.txt		_Kacem_result.txt
_Kacem_result_detail.txt		_Kacem_result_detail.txt

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Compromising productivity in exchange for energy-saving does not appeal to highly capitalized manufacturing industries. However, we might be able to maintain the same productivity while significantly reducing the energy-consumption. This paper addresses a flexible job shop scheduling problem with a shutdown (on/off) strategy aiming to minimize mak…