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Joint optimization of production and maintenance strategies considering a dynamic sampling strategy for a deteriorating system

机译:考虑恶化系统的动态采样策略的生产和维护策略联合优化

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This paper presents a control policy of integrated production, maintenance and quality control planning for a continuous production system subject to quality deterioration. The system under study is composed of an unreliable machine that produces one part type satisfying customers demand. The machine can fail at any time and is subject to quality deterioration, and so a preventive maintenance and quality control policies are proposed to decrease the rate of defectives and to increase the system availability. The proposed production policy incorporates production thresholds, which regulate the machine production rate. Traditional sampling inspections standards such as ANSI/ASQC Z1.4 and ISO 2859 have addressed a dynamic quality control level to face quality deterioration. However, these standards are based only on quality considerations, disregarding the economic aspects and the interactions with production and maintenance management in the design of sampling plans. Thus, the proposed integrated model analyses in detail the effect of such dynamic sampling strategy and relevant interactions with production and maintenance strategies. The main objective of the paper is to determine an appropriate production policy as well as the preventive maintenance and the quality control rates in order to minimize the expected average incurred cost and satisfy at the same time a quality constraint. Given the high flexibility and capacity to model complex manufacturing systems, a combination of simulation modeling and optimization techniques are used to determine a solution for this stochastic and constrained problem. In addition, numerical examples and an extensive sensitivity analysis are conducted to illustrate the proposed control approach. Furthermore, we compared the proposed integrated policy with three common policies from the literature. Such study serve us to highlight the effectiveness of the approach, since the proposed integrated policy led to considerable cost savings.
机译:本文提出了一种针对质量不断下降的连续生产系统的集成生产,维护和质量控制计划的控制策略。所研究的系统由一台不可靠的机器组成,该机器只能生产一种满足客户需求的零件。机器随时可能发生故障,并且会导致质量下降,因此提出了预防性维护和质量控制策略,以减少次品率并提高系统可用性。建议的生产策略包含生产阈值,该阈值可调节机器的生产率。诸如ANSI / ASQC Z1.4和ISO 2859之类的传统抽样检查标准已经解决了动态质量控制水平,以应对质量下降的问题。但是,这些标准仅基于质量考虑,不考虑经济方面以及在抽样计划设计中与生产和维护管理的相互作用。因此,提出的集成模型详细分析了这种动态采样策略以及与生产和维护策略相关交互的影响。本文的主要目的是确定适当的生产策略以及预防性维护和质量控制率,以最大程度地减少预期的平均发生成本并同时满足质量约束。鉴于对复杂制造系统进行建模的高度灵活性和能力,结合使用仿真建模和优化技术来确定此随机和受限问题的解决方案。此外,通过数值算例和广泛的灵敏度分析来说明所提出的控制方法。此外,我们将拟议的综合政策与文献中的三种常见政策进行了比较。这项研究使我们强调了该方法的有效性,因为拟议的综合政策导致可观的成本节省。

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