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Multi-objective genetic algorithm for energy-efficient job shop scheduling
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DOI：10.1080/00207543.2015.1005248.png)
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摘要
En 中文
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.
Keyword:
energy efficiency
job shop
scheduling
genetic algorithms
machine control policies
sustainable manufacturing
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期刊
IF:
7.3
论文数:
1.1W
被引数:
3.7W
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