An extended Birnbaum importance-based two-stage heuristic for component assignment problems under uncertainty

Qiu Siqi; Ming Xinguo

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An extended Birnbaum importance-based two-stage heuristic for component assignment problems under uncertainty

机译：基于延伸的Birnbaum重要的两级启发式，用于不确定性下的组件分配问题

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摘要

The component assignment problem (CAP) is to find the optimal assignment of n components to n positions in a system that maximizes the system reliability. Due to the insufficiency and the inaccuracy of related data and system complexities, there are different types of uncertainties in real-world engineering system analysis. This paper proposes an extended Birnbaum importance (BI)-based two-stage (EBITS) heuristic using evidential network and interval-valued BI measures for solving CAPs under parametric and model uncertainties. The parametric uncertainty is the uncertainty about component reliabilities and the model uncertainty is the uncertainty about the system structure. The proposed method is applied to find the optimal assignment of valves in a ship's fuel service system.

机译：组件分配问题（帽）是在系统中找到最大化系统可靠性的N个组件的最佳分配。由于相关数据和系统复杂性的不足和不准确性，在现实世界工程系统分析中存在不同类型的不确定性。本文提出了扩展的Birnbaum重要性（BI），基于二级（EBITS）启发式，使用证据网络和间歇性BI测量来解决参数和模型不确定性的帽子。参数不确定性是组件可靠性的不确定性，模型不确定性是系统结构的不确定性。拟议的方法应用于船舶燃料服务系统中的阀门最佳分配。

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《Reliability Engineering & System Safety》 |2020年第12期|107134.1-107134.14|共14页
作者
Qiu Siqi; Ming Xinguo;
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作者单位

Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200240 Peoples R China|Shanghai Key Lab Adv Mfg Environm Shanghai 200240 Peoples R China;

Shanghai Jiao Tong Univ Sch Mech Engn Shanghai 200240 Peoples R China|Shanghai Key Lab Adv Mfg Environm Shanghai 200240 Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Component assignment problem; Uncertainty analysis; Evidential network; Birnbaum importance;

机译：组件分配问题;不确定性分析;证据网络;Birnbaum重要性;

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1. Birnbaum importance based heuristics for multi-type component assignment problems [J] . Zhu Xiaoyan, Fu Yugiang, Yuan Tao, Reliability Engineering & System Safety . 2017,第sepa期

机译：基于伯恩鲍姆重要性的启发式方法，用于解决多类型组件分配问题
2. Heuristics for component assignment problems based on the Birnbaum importance [J] . QINGZHU YAO, XIAOYAN ZHU, WAY KUO IIE Transactions . 2011,第9期

机译：基于Birnbaum重要性的启发式组件分配问题
3. Optimization of linear consecutive-k-out-of-n system with a Birnbaum importance-based genetic algorithm [J] . Cai Zhiqiang, Si Shubin, Sun Shudong, Reliability Engineering & System Safety . 2016,第Auga期

机译：基于Birnbaum重要度的遗传算法优化线性连续k出n系统
4. Maintenance Optimization of Consecutive-$k$-out-of-$n$ System with Multiobjective Birnbaum Importance-based Particle Swarm Optimization [C] . Zhiqiang Cai, Chenyang Ma, Wei Wang, IEEE International Conference on Industrial Engineering and Engineering Management . 2019

机译：基于多目标Birnbaum重要性粒子群优化的连续 $ k $ -of- $ n $ 系统的维护优化
5. Worst-case analysis of heuristics to schedule deterministic two-stage production and delivery problems. [D] . Chang, Yung-Chia. 2001

机译：启发式的最坏情况分析，以安排确定性的两阶段生产和交付问题。
6. Uncertainty about social interactions leads to the evolution of social heuristics [O] . Pieter van den Berg, Tom Wenseleers -1

机译：有关社交互动的不确定性导致社交启发法的发展
7. Component ranking by Birnbaum importance in presence of epistemic uncertainty in failure event probabilities [O] . Baraldi, Piero, Compare, Michele, Zio, Enrico 2013

机译：在故障事件概率存在认知不确定性的情况下，按伯恩鲍姆重要性对组件进行排名

An extended Birnbaum importance-based two-stage heuristic for component assignment problems under uncertainty

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