Development and analysis of fuzzy priority rules for scheduling a dynamic job shop production system

V. Vinod, R. Sridharan
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引用次数: 4

Abstract

This paper focuses on development and analysis of scheduling rules using fuzzy logic for scheduling a dynamic job shop. A discrete-event simulation model is developed for the purpose of experimentation. Six scheduling rules from the literature are incorporated in the simulation model. Three scheduling rules using fuzzy logic approach have been developed and analyzed. The max-min composition method is used for determining the fuzzy priorities. The fuzzy based scheduling rules perform better for mean flow time measure. One of the fuzzy based rules performs better for mean tardiness and percentage of tardy jobs.
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动态作业车间生产系统调度模糊优先级规则的开发与分析
本文主要研究了利用模糊逻辑对动态作业车间进行调度的调度规则的开发和分析。为了进行实验,建立了离散事件仿真模型。在仿真模型中引入了文献中的6条调度规则。利用模糊逻辑方法,提出并分析了三种调度规则。采用最大-最小组合法确定模糊优先级。基于模糊的调度规则对平均流时间的度量效果较好。其中一种基于模糊的规则对平均迟到率和延迟作业百分比表现较好。
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