中期多产品连续工厂调度的混合方法研究

P. Borisovsky, A. Eremeev, J. Kallrath
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引用次数: 3

摘要

本文提出了一种求解特殊类型生产调度问题的混合方法。该方法基于早期研究提出的一般分解方案,并通过中期调度的建设性贪婪启发式算法和解决关键(瓶颈)处理单元集上的辅助子问题的遗传算法进行扩展。在大规模数据上的实验研究表明,与之前已知的结果相比,该方法的求解质量和求解时间有了显著提高,并证实了该方法对实际生产调度的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On hybrid method for medium-term multi-product continuous plant scheduling
In this paper, we develop a hybrid approach to solve a production scheduling problem of special type. The approach is based on a general decomposition scheme proposed in earlier studies and is extended by a constructive greedy heuristic for medium term scheduling and a genetic algorithm for solving the auxiliary subproblem on a set of critical (bottleneck) processing units. The experimental study on a large-scale data showed a significant improvement of the solution quality and the solving time comparing to the previously known results, and confirmed the suitability of the proposed approach for the real-life production scheduling.
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