This article is based on the rolling time domain optimization strategy, with the objective of achieving the best comprehensive result by minimizing the shortest time and maximizing the total priority of scheduling tasks. It designs a scheduling optimization strategy for situations where production equipment failures occur. The bi-level genetic algorithm is used to solve the production scheduling problem in the workshop. Finally, through simulation on instances of the production workshop, it verifies that this scheduling strategy can effectively solve the dynamic scheduling problem in the workshop.
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Guo et al. (2024) studied this question.
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