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A Real Time Practical Approach for Multi Objective Job Shop Scheduling using Fuzzy Logic Approach

机译:基于模糊逻辑的多目标作业车间调度实时实用方法

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摘要

Multi objective Job Shop scheduling is a difficult task in both theoretical and practical solving issues. Problem statement: In the present scenario the modern Engineering and Industrial manufacturing units are facing lot of problems in many aspects such as machining time, raw material movement, man power requirement, electricity demand and customer satisfaction. Approach: A triangular fuzzy membership function is used to represent customer priority and due date. Results: A fuzzy rule-based system is developed which determines the study to be allocated to N number of machines with M number of Jobs in the following premise variables: size of the job, workload on the shop floor and the priority of the job. Multi objective fuzzy job shop scheduling problems are formulated as three-objective ones which not only maximize the minimum agreement index but also maximize the average agreement index and minimize the maximum fuzzy completion time. Conclusion/Recommendations: The study is analyzed on real-world data obtained from a printing company and the results are found satisfactory.
机译:无论是在理论上还是在实践中,多目标作业车间调度都是一项艰巨的任务。问题陈述:在目前的情况下,现代工程和工业制造部门在许多方面都面临很多问题,例如加工时间,原材料移动,人力需求,电力需求和客户满意度。方法:使用三角模糊隶属度函数表示客户优先级和到期日。结果:开发了一个基于模糊规则的系统,该系统在以下前提变量中确定要分配给N个具有M个作业的机器的研究:作业的大小,车间的工作量和作业的优先级。将多目标模糊作业车间调度问题表述为三目标问题,该问题不仅使最小一致性指标最大化,而且使平均一致性指标最大化,并使最大模糊完成时间最小化。结论/建议:对从印刷公司获得的真实数据进行了分析,结果令人满意。

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