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Subcontracting strategies with production and maintenance policies for a manufacturing system subject to progressive deterioration

机译:具有逐步恶化的制造系统的生产和维护策略分包策略

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摘要

This paper investigates the case of a manufacturing system subject to several progressive deterioration processes through an integrated model that seeks to determine the subcontracting, production and maintenance strategies employed simultaneously. The model is based on the premise that such deterioration affects several performance indices of the machine, centered mainly on the quality of the parts produced and on its reliability. When a machine fails, a minimal repair is conducted and preventive maintenance is available to restore the machine to initial conditions. The control policies indicate the production and preventive maintenance rates, as well as the amount of subcontracting required as a support measure to satisfy product demand. The main objective of the model is to minimize the discounted overall cost, which comprises production, subcontracting, inventory, backlog, preventive maintenance, defectives and repair costs. Hence, we develop a stochastic optimal control model, and numerical methods are used to solve optimality conditions in order to define the structure of the control policies. A simulation-based approach comprising statistical analysis and optimization techniques is applied to determine the optimal parameters associated with the structure of the control policies. The results obtained highlight the strong relations between production, maintenance, deterioration, reliability and quality, which justify the development of an integrated model. Through a numerical example and an extensive sensitivity analysis, we validate our approach.
机译:本文通过一个集成模型来研究制造系统经受多个渐进式恶化过程的情况,该集成模型试图确定同时采用的分包,生产和维护策略。该模型基于这样的前提,即这种劣化会影响机器的多个性能指标,主要集中在所生产零件的质量及其可靠性上。当机器出现故障时,将进行最少的维修,并且可以进行预防性维护,以将机器恢复到初始状态。控制策略指示生产和预防性维护率,以及作为满足产品需求的支持措施所需的分包数量。该模型的主要目的是最大程度地降低折现后的总成本,其中包括生产,分包,库存,积压,预防性维护,缺陷和维修成本。因此,我们建立了一个随机的最优控制模型,并使用数值方法来求解最优性条件,以定义控制策略的结构。包括统计分析和优化技术的基于仿真的方法可用于确定与控制策略的结构相关联的最佳参数。获得的结果突出了生产,维护,劣化,可靠性和质量之间的紧密关系,这证明了开发集成模型的合理性。通过数值示例和广泛的敏感性分析,我们验证了我们的方法。

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