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Multi-objective optimization of reliability-redundancy allocation problem for multi-type production systems considering redundancy strategies

机译:考虑冗余策略的多类型生产系统可靠性-冗余分配问题的多目标优化

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This paper innovatively proposes a new model of multi-type production system which can process different types of production. The multi-type production system consists of several independent sequentially ordered subsystems which undertaking different tasks. Different types of production require different manufacturing lines: required subsystems will be powered on, while others powered off. The system can switch into different production line based on detection results. A binary matrix is suggested to describe the composition of each production line of the multi-type production system. Reliability-redundancy allocation on each subsystem is considered for achieving higher reliabilities of different production lines. The reliability-redundancy allocation problem for the proposed multi-type production system is essentially multi-objective subject to resource constraints. This paper formulates the multi-objective optimization problem and considers the optimal redundancy strategy, either active or cold standby. The exact reliabilities of cold standby redundant subsystems with imperfect detector/switch are determined by introducing an approach based on continuous time Markov chain. Then, a multi-objective evolutionary algorithm is suggested to solve the proposed reliability-redundancy allocation problem. Finally, numerical examples are presented to illustrate the proposed methods.
机译:本文创新地提出了一种新型的多类型生产系统模型,可以处理不同类型的生产。多种类型的生产系统由几个独立的顺序排序的子系统组成,这些子系统承担着不同的任务。不同类型的生产需要不同的生产线:所需的子系统将打开电源,而其他子系统将关闭电源。系统可以根据检测结果切换到不同的生产线。建议使用二进制矩阵来描述多类型生产系统的每个生产线的组成。为了实现不同生产线的更高可靠性,考虑了在每个子系统上的可靠性-冗余分配。所提出的多类型生产系统的可靠性-冗余分配问题在资源约束下本质上是多目标的。本文提出了多目标优化问题,并考虑了主动或冷备用的最优冗余策略。通过引入基于连续时间马尔可夫链的方法,可以确定具有不完善的检测器/开关的冷备用冗余子系统的确切可靠性。然后,提出了一种多目标进化算法来解决所提出的可靠性-冗余分配问题。最后,通过数值例子说明了所提出的方法。

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