对有再入流车间的工作量控制方法的研究

IF 1.4 Q4 ENGINEERING, INDUSTRIAL
Aruna Prabhu, K. Raghunandana, Pai P Yogesh, Augustine B.V. Barboza
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引用次数: 0

摘要

到达频率不可预测的再入流显然会损害流动型车间的生产计划和进度。在转子叶片制造中,具有不同到达频率的再入流相当复杂,会导致不成比例的工作量。因此,我们尝试研究工作量不成比例的重大影响,并研究一种创新的订单释放方法,以提高绩效。对生产流程进行了全面观察,以纳入对生产造成干扰的不确定事件。在离散事件仿真平台上开发了一个仿真模型,从概念化阶段就开始分析问题现象。为确保模型的准确性,对模型进行了验证和确认。该模型经过了 288 次实验,代表了流水车间在现实中经历的不同场景。实验中考虑的因素包括再进入频率、再进入比例、订单释放方法和优先调度规则。通过与其他相关策略的比较,提出了一种针对不成比例负载的改进负载释放策略,以判断其在利润计算方面的有效性。实验结果表明,订单释放方法对吞吐量性能的贡献率为 95.93%,此外,在上述场景中使用新的再进入方法策略在提高车间整体性能方面卓有成效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Workload Control Methods for Shops with Re-Entrant Flows
The re-entrant flow with an unpredictable nature of arrival would apparently harm production plans and schedules in flow type of shops. The re-entrant flow with varied arrival frequencies in rotor blade manufacturing is quite complicated and results in disproportionate workloads. Hence, an attempt has been made to study the significant influence of disproportionate workloads and research on an innovative order release method to enhance performance. The manufacturing process was observed thoroughly to incorporate the uncertain events that cause disturbance in the production. A simulation model was developed on a discrete event simulation platform by analysing problem phenomena right from the conceptualization phase. The model has been verified and validated to ensure the accuracy. The model was subjected to 288 experiments representing different scenarios that a flow shop undergoes in reality. The factors considered in the experimentation were re-entrant frequency, re-entrant proportions, order release methods and priority dispatching rules. A refined load release policy for disproportionate loads has been proposed to judge its effectiveness in terms of profit computation by comparing it with other relevant policies. Results of the experiment revealed that the order release methods contribute 95.93% to throughput performance, in addition, the use of the new re-entrant method policy in the above scenario was productive in improving the overall shop performance.
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来源期刊
CiteScore
4.30
自引率
13.30%
发文量
48
审稿时长
10 weeks
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