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首页> 外文会议>IFIP WG 5.7 international conference on advances in production management systems >Dynamic Rescheduling in Energy-Aware Unrelated Parallel Machine Problems
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Dynamic Rescheduling in Energy-Aware Unrelated Parallel Machine Problems

机译：能源意识无关的并行机问题中的动态重新调度

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摘要

Advance in applied scheduling is a source of innovation in the manufacturing field, where new results help industrial practitioners in production management. The literature of rescheduling problems for single-objective optimization is well study, while there is a lack of extensive studies for the case of rescheduling for multi-objective optimization, especially for energy aware scheduling. This paper extends a previous work over an energy aware scheduling problem, modelled from a real industrial case study, extending its manufacturing environment to a dynamic one. To this end, two rescheduling techniques are developed to tackle machines disruptions (greedy-heuristic and meta-heuristic). They are compared to existing approach thought manufacturing environment simulations. The results give insight to improve the production management in terms of rescheduling quality and computational time.
机译：应用调度的进步是制造领域创新的源泉，在该领域，新成果可帮助工业从业人员进行生产管理。对于单目标优化的重新调度问题的文献已有很好的研究，而对于多目标优化的重新调度的情况，尤其是对于能量意识的调度，则缺乏广泛的研究。本文将以能源节约计划问题为基础，扩展了先前的工作，该问题以实际的工业案例研究为模型，将其制造环境扩展为动态环境。为此，开发了两种重新计划技术来解决机器中断（贪婪启发式算法和元启发式算法）。将它们与现有方法进行制造环境模拟进行比较。结果为重新计划质量和计算时间提供了改进生产管理的见识。

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