期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 53, 期 23, 页码 7071-7089出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2015.1005248
关键词
energy efficiency; job shop; scheduling; genetic algorithms; machine control policies; sustainable manufacturing
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.
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