Energy-awareness scheduling of unrelated parallel machine scheduling problems with multiple resource constraints

Bing-Hai Zhou and Jiaying Gu

International Journal of Operational Research, 2021, vol. 41, issue 2, 196-217

Abstract: The environmental and economic pressures caused by energy consumption arouse energy-saving consciousness of the manufacturing industry. To this end, the paper integrates energy-awareness into the research of the unrelated parallel machines scheduling problem with multiple auxiliary resources which is typical in the photolithography process of wafer fabrication. With a comprehensive consideration of jobs requiring different processing demands, setup times, different ready times, resource constraints and energy consumption, a scheduling model with a multi-objective function of minimising the total weighted completion time and total energy consumption of the system is developed. On the basis of the model, a modified multi-objective artificial immune algorithm integrated with non-domination sorting strategy is put forward to crack the problem. Furthermore, in order to improve the performance of the proposed algorithm, clone operators, neighbourhood search operators, elite-preservation operators are applied to the algorithm. Finally, the experimental results and analysis validate that the presented algorithm is efficient and effective.

Keywords: multi-objective; artificial immune algorithm; energy consumption; resource constraints. (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:41:y:2021:i:2:p:196-217

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