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One-batch preempt deterioration-effect multi-state multi-rework network reliability problem and algorithms

机译：单批次抢先劣化效应多状态多返回网络可靠性问题及算法

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摘要

A rework network is a distinct multi-state network that exists in many real-life industrial manufacturing systems for fixing defective products using rework processes to improve the utility and productivity of the systems. To provide a more general model of rework networks, a novel one-batch preempt multi-state multi-rework network is proposed to achieve real-life applications without numerous impractical and unreasonable limitations. Accordingly, a new algorithm based on two different multi-state types of binary addition tree algorithms (BATs) is proposed to calculate the reliability of the proposed rework. Furthermore, the proposed BAT-based algorithm is applied to four rework problems to validate its effectiveness and performance for the rework reliability problem.An novel one-batch preempt multi-state multi-rework network modelBased on the novel binary addition tree algorithms (BATs)the novel top-down deterioration-effect multi-state BATthe novel nested multi-state BAT sHelps decision makers make better decisions regarding the rework process
机译：返工网络是一种不同的多状态网络，其在许多现实生活中的工业制造系统中存在，用于使用返工过程来修复缺陷的产品，以改善系统的实用性和生产率。为了提供更广泛的返工网络模型，提出了一种新颖的单批抢占多状态多返回网络，以实现现实生活应用，而没有许多不合理和不合理的局限性。因此，提出了一种基于两种不同多状态类型的二进制添加树算法（BATS）的新算法，以计算所提出的返工的可靠性。此外，所提出的基于BAT的算法应用于四个返工问题，以验证返工可靠性问题的效力和性能。在新颖的二进制添加树算法上冒充基于新型二进制添加树算法（蝙蝠）的新型单批次抢占多状态多返回网络新型自上而下的劣化效果多状态蝙蝠新颖的嵌套多州蝙蝠谢尔普斯决策者对返工过程做出了更好的决定

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