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Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system

机译:联合经济设计生产,不断采样检查和预防性维护不断恶化的生产系统

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Standard continuous sampling procedures and tables are conventionally applicable only to continuous production processes that are statistically 'in-control'. Consequently, these standards cannot be used to control quality in deteriorating production processes. Moreover, existing continuous sampling models do not consider interactions with production, inventory and maintenance aspects. In this paper, we attempt to fill these gaps in the literature. We investigate the joint design and optimization of a type-1 continuous sampling plan (CSP-1), make-to-stock production and preventive maintenance of a stochastic production system subject to both quality and reliability deteriorations. Two models of CSP-1 are considered and compared: the classical CSP-1 as in the standard procedures, and a CSP-1 plan with a stopping rule that is combined with condition-based maintenance. For both models, the optimization problem is to minimize the total incurred cost under a constraint on the outgoing quality. A combination of mathematical formulation, simulation and optimization techniques is used to solve such stochastic and constrained problems. Numerical examples are given to illustrate the resolution approach and to highlight some interesting aspects in the interactions between production, inventory, quality, maintenance and reliability. The results obtained demonstrate that sampling inspection plans realize significant cost savings compared to the 100% inspection which is commonly used in the literature of integrated models, and that using the CSP-1 with an inspection stopping rule for deteriorating processes is more cost-effective than the classical CSP-1. (C) 2015 Elsevier B.V. All rights reserved.
机译:标准的连续采样程序和表格通常仅适用于统计上处于“控制中”的连续生产过程。因此,这些标准不能用于控制不断恶化的生产过程中的质量。而且,现有的连续抽样模型不考虑与生产,库存和维护方面的相互作用。在本文中,我们试图填补文献中的这些空白。我们研究了联合设计和优化类型1连续抽样计划(CSP-1),按库存生产以及对质量和可靠性均下降的随机生产系统的预防性维护。考虑并比较了CSP-1的两种模型:标准程序中的经典CSP-1,以及具有停止规则并结合基于条件的维护的CSP-1计划。对于这两种模型,优化问题是在对输出质量的约束下将总的发生成本最小化。数学公式,仿真和优化技术的组合用于解决此类随机和受限问题。数值例子说明了解决方法,并突出了生产,库存,质量,维护和可靠性之间相互作用中的一些有趣方面。所获得的结果表明,与集成模型文献中常用的100%检查相比,抽样检查计划可节省大量成本,并且使用CSP-1和带有检查停止规则的恶化流程比使用CSP-1具有更高的成本效益。经典的CSP-1。 (C)2015 Elsevier B.V.保留所有权利。

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