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Joint Production and Replacement Strategy for a Quality Deteriorating Failure-Prone Manufacturing System

机译:质量劣化易失型制造系统的联合生产和更换策略

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摘要

This paper deals with the simultaneous production planning and quality control problem in manufacturing systems with unreliable single machine responding to a single product type demand. The machine is subject to random failures and repairs, and deteriorates with its age while in operation. This deterioration manifests by imperfect repairs and is characterized to increase the failures rates and decrease the quality of the parts produced. Because the availability and the quality of the parts of the machine decrease with repair activities, the introduction of the option to replace the machine will be taken to completely restore the age of the machine. When the replacement action is selected, the machine is replaced by a new identical one. The objective of this research is to find the simultaneous production and replacement policy under quality and failures deteriorations. The optimal solution is established in order to minimize the discounted total cost including the inventory holding, backlog, production, repair and replacement costs over an infinite planning horizon and satisfy the customer demand. Due to imperfect repairs, the semi-Markov processes are more appropriate to describe the systems subject to deteriorations caused by the machine aging. Optimality conditions are developed using the optimal control theory based on stochastic dynamic programming. Numerical methods are used to obtain the optimal control policies (production rate and replacement policies). Finally, an illustrative example and a sensitivity analysis are provided to confirm the structure of the obtained optimal control policies.
机译:本文探讨了制造系统中同时生产计划和质量控制的问题,单机不可靠,无法响应单一产品类型的需求。机器会受到随机故障和维修的影响,并且在运行过程中会随着年龄的增长而变质。这种劣化表现为不完美的维修,其特点是增加了故障率并降低了所生产零件的质量。由于机器零件的可用性和质量会随着维修活动而降低,因此将引入更换机器的选项以完全恢复机器的使用年限。选择更换操作后,机器将更换为新的相同机器。本研究的目的是在质量和故障恶化的情况下找到同时生产和更换策略。为了在无限的计划范围内将库存持有、积压、生产、维修和更换成本等折扣总成本降至最低,并满足客户需求,建立了最佳解决方案。由于维修不完善,半马尔可夫工艺更适合描述因机器老化而导致劣化的系统。利用基于随机动态规划的最优控制理论,建立了最优条件。采用数值方法获得最优控制策略(生产率和更换策略)。最后,通过算例和敏感性分析,验证了所得到的最优控制策略的结构。

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