学报(中文)

基于双时间窗的多设备串行系统机会维护策略

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  • 上海交通大学 机械与动力工程学院, 上海 200240
俞梦琦(1994-),女,浙江省杭州市人,硕士生,从事设备维护决策研究.

网络出版日期: 2020-01-16

基金资助

国家自然科学基金资助项目(51575356)

Opportunistic Maintenance Strategy for Multi-Unit Serial Systems Based on Dual Time Window

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  • School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Online published: 2020-01-16

摘要

针对多设备串行系统,提出一种基于双时间窗策略的机会维护决策模型,改变传统单窗策略中以达到单设备最优维护周期为系统停机条件这一决策方式,转而以此作为维护决策触发条件,进而基于维护组合时间窗确定最佳的维护设备组合,并引入维护时机时间窗优化系统的维护停机时刻.在此基础上,通过最小化系统在规划期内的维护总成本,获取系统的最优维护策略.算例分析表明,双窗策略在维护总成本方面优于单窗策略.

本文引用格式

俞梦琦,史凯龙,周晓军 . 基于双时间窗的多设备串行系统机会维护策略[J]. 上海交通大学学报, 2020 , 54(1) : 69 -75 . DOI: 10.16183/j.cnki.jsjtu.2020.01.009

Abstract

A decision model of opportunistic maintenance based on dual time window strategy is proposed for the multi-unit serial system. Instead of taking the arrival of a single unit’s optimal maintenance interval as the system shutdown condition in traditional single window strategy, dual time window strategy takes it as the trigger condition in maintenance decision. It decides the best maintenance equipment combination based on the maintenance time window for unit grouping, and introduces a new maintenance time window for preventive maintenance implementation to optimize the system downtime. On the basis of dual time window, the optimal maintenance strategy of the system is obtained by minimizing total maintenance cost of the system during the planning period. The example analysis shows that the dual window strategy is better than the single window strategy on total maintenance cost.

参考文献

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