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Periodical preventive maintenance contract for leased equipment with random failure penalties

机译:租赁设备的定期预防性维护合同,随机判罚

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摘要

Production decisions for leased equipment often depend on many market factors. In this study, we take the penalty of changing market environment into account for the expected total cost model of preventive maintenance (PM) to obtain an optimization PM strategy. The lessor in the proposed model will incur a penalty for overdue minimal repair time. The penalty is considered as a function of expected revenue during the period of minimal repair, and the Black-Scholes equation is used to model the penalty function for establishing the expected total cost model. An optimal PM strategy is obtained to minimize the expected total cost for lessor through an analytical optimal procedure. Numerical examples for Weibull lifetime equipment are used to illustrate the applications of the proposed method under different scenarios.
机译:租赁设备的生产决策通常取决于许多市场因素。在这项研究中,我们将预防性维护(PM)的预期总成本模型考虑到了不断变化的市场环境,从而获得了优化的PM策略。提议的模型中的出租人将因逾期的最短维修时间而受到处罚。罚金被认为是最小维修期内预期收益的函数,并且使用Black-Scholes方程对罚金函数进行建模,以建立预期总成本模型。通过分析最佳程序,获得了最佳的PM策略,以使出租人的预期总成本最小化。 Weibull寿命设备的数值示例用于说明该方法在不同情况下的应用。

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