Optimal-maintenance modeling on finite time with technology replacement and changing repair costs

J. Rupe
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引用次数: 9

Abstract

The authors explore maintenance models for finite time missions. Motivated by real world applications, and models which are lacking in literature, they include exponential cost forms that allow for net present value analysis, and explore replacing obsolete equipment with new. In this paper, they demonstrate through mathematical modeling that: by using simple search methods, one can find optimal replacement intervals for systems under a general finite time mission; under Weibull hazard functions, one can express the optimal replacement rate simply; by allowing for special exponential cost function forms, one can find local cost minima for exponentially growing costs, or include the time value of money; for systems in use, one can monitor the marginal cost, and replace the system when this marginal cost equals the expected average cost for the replacing system; when replacing one technology with a new, there are conditions under which the optimal replacement cycles are completely interrelated, and other conditions where one can calculate one from an independent calculation of another; and in budget constrained times, use present value estimates such as the ones we provide. To apply optimal replacement planning in industry, one must consider finite time missions, net present value of costs, and replacing obsolete equipment with new technology.
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有限时间下技术更新和维修成本变化的最优维修建模
作者探讨了有限时间任务的维护模型。受现实世界应用和文献中缺乏的模型的推动,它们包括允许净现值分析的指数成本形式,并探索用新设备替换过时设备。在本文中,他们通过数学建模证明:在一般有限时间任务下,用简单的搜索方法可以找到系统的最优替换间隔;在威布尔危险函数下,可以简单地表示最优替代率;通过允许特殊的指数成本函数形式,人们可以找到指数增长成本的局部成本最小值,或者包括货币的时间价值;对于正在使用的系统,人们可以监控边际成本,并在边际成本等于被替换系统的预期平均成本时进行替换;当用一种新技术替代一种技术时,在某些条件下,最佳替代周期是完全相互关联的,在其他条件下,人们可以通过对另一种技术的独立计算来计算其中一种;在预算有限的情况下,使用我们提供的现值估算。为了在工业中应用最优替换计划,必须考虑有限时间任务、净现值成本和用新技术替换过时设备。
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