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DATA-ENABLED MODELING AND PERFORMANCE EVALUATION OF MULTISTAGE SERIAL MANUFACTURING SYSTEMS WITH QUALITY REWORK

机译:具有质量返工的多级串行制造系统的支持数据的建模和性能评估

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In a multistage serial production line, products with defect can be repaired or reworked to ensure high product quality. This paper studies a multistage serial manufacturing system with quality rework loops. Rework is the activity to repair or repeat the work on the defect parts during manufacturing processes, and it adds to cost and cycle time. This paper introduces an event-based data-enabled mathematical model for a stochastic production line with quality rework loops. The system performance properties are analyzed and permanent production loss due to quality rework loops is identified. The mathematical model and system performance identification methodology are studied analytically through numerical case studies.
机译:在多级串行生产线中,可以修复或重新加工缺陷的产品,以确保高产品质量。本文研究了具有优质返工环的多级串行制造系统。返工是在制造过程中修复或重复缺陷部分工作的活动,并增加了成本和循环时间。本文介绍了一种基于事件的数据启用数学模型,用于随机生产线具有质量返工循环。分析系统性能属性,并确定了质量返工环引起的永久性生产损失。通过数值案例研究分析数学模型和系统性能识别方法。

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