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Minimum Mission Cost Cold-Standby Sequencing in Non-Repairable Multi-Phase Systems

机译：不可修复的多相系统中的最低任务成本冷备用排序

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摘要

This paper considers the optimal cold standby element sequencing problem (SESP) for 1-out-of-$n$ : G heterogeneous non-repairable cold-standby systems that accomplish multi-phase missions. Given a fixed set of element choices, the objective of the optimal system design is to select the initiation sequence of the system elements so as to minimize the expected mission cost while providing a desired level of system reliability. It is assumed that during different mission phases the elements are exposed to different stresses, which affects their time-to-failure distributions. The startup and exploitation costs of system elements are also phase dependent. We suggest an algorithm for evaluating the mission reliability and expected mission cost based on a discrete approximation of time-to-failure distributions of the system elements. A genetic algorithm is used as an optimization tool for solving the formulated SESP for multi-phase cold-standby systems. Examples are given to illustrate the considered problem and the proposed solution methodology.
机译：本文考虑了实现n分之一的G最优冷备用元件排序问题（SESP）：G异构非修复冷备用系统，它完成了多阶段任务。给定一组固定的元素选择，最佳系统设计的目标是选择系统元素的启动顺序，以便在提供所需级别的系统可靠性的同时，将预期的任务成本降至最低。假定在不同的任务阶段，元素承受不同的压力，这会影响它们的失效时间分布。系统元素的启动和开发成本也取决于阶段。我们建议一种算法，用于基于系统元素到故障时间分布的离散近似值来评估任务可靠性和预期任务成本。遗传算法被用作优化工具，用于求解多相冷待机系统的配方化SESP。举例说明了所考虑的问题和建议的解决方法。

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