Multi-objective genetic algorithm for energy-efficient job shop scheduling

Gökan May, Bojan Stahl, Marco Taisch and Vittal Prabhu

International Journal of Production Research, 2015, vol. 53, issue 23, 7071-7089

Abstract: The paper investigates the effects of production scheduling policies aimed towards improving productive and environmental performances in a job shop system. A green genetic algorithm allows the assessment of multi-objective problems related to sustainability. Two main considerations have emerged from the application of the algorithm. First, the algorithm is able to achieve a semi-optimal makespan similar to that obtained by the best of other methods but with a significantly lower total energy consumption. Second, the study demonstrated that the worthless energy consumption can be reduced significantly by employing complex energy-efficient machine behaviour policies.

Date: 2015
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Citations: View citations in EconPapers (22)

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DOI: 10.1080/00207543.2015.1005248

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