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Multi-objective redundancy allocation problem for a system with repairable components considering instantaneous availability and strategy selection

机译：考虑瞬时可用性和策略选择的具有可修复组件的系统的多目标冗余分配问题

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摘要

Many Studies have been conducted on Redundancy Allocation Problem (RAP), but only a few of them have considered designing systems which operate for a certain period of time. Such temporary systems are not meant to operate for a long period of time (e.g. a manufacturing cell designed to produce a unique product with a small window of opportunity). Due to this fact, the investigation of the reliability at an infinite time will not be helpful; instead designing a system which perform optimally in a short period of time is of importance. additionally RAP's are inherently complex and classified as NP-Hard, as a result most proposed approaches, consider a set of simplified assumptions. Among these assumptions are the calculation of availability in the steady state (a time in which a system becomes completely stable), the use of non-repairable components, and setting predetermined configuration strategy (parallel, cold or warm standby subsystems). Unfortunately, these simplified assumptions do not conform to the real world conditions. Therefore, this article intends to develop an integrated algorithm to solve the reliability design problem considering instantaneous availability, repairable components, and the selection of configuration strategies based on the Markov processes and NSGA-II algorithm.
机译：已经对冗余分配问题（RAP）进行了许多研究，但是只有少数研究者考虑了设计可在一定时期内运行的系统。这样的临时系统并不意味着可以长时间运行（例如，设计用于生产机会少的独特产品的制造单元）。由于这个事实，在无限时间内研究可靠性将无济于事；相反，设计在短时间内达到最佳性能的系统非常重要。另外，RAP本质上很复杂，被归类为NP-Hard，因此大多数提议的方法都考虑了一组简化的假设。这些假设包括在稳态（系统变得完全稳定的时间）内的可用性计算，使用不可修复的组件以及设置预定的配置策略（并行，冷或热备用子系统）。不幸的是，这些简化的假设不符合现实世界的条件。因此，本文打算基于马尔可夫过程和NSGA-II算法开发一种集成算法，以解决考虑瞬时可用性，可修复组件以及选择配置策略的可靠性设计问题。

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