华南理工大学学报(自然科学版) ›› 2020, Vol. 48 ›› Issue (9): 51-60.doi: 10.12141/j.issn.1000-565X.190846

• 机械工程 • 上一篇    下一篇

集中管理下园区设备的维护策略决策模型及算法

任远 马智亮† 向星磊   

  1. 清华大学 土木工程系,北京 100084
  • 收稿日期:2019-11-20 修回日期:2020-05-06 出版日期:2020-09-25 发布日期:2020-09-01
  • 通信作者: 马智亮 (1963-),男,教授,主要从事土木工程信息技术研究。 E-mail:mazl@tsinghua.edu.cn
  • 作者简介:任远 (1994-),男,博士生,主要从事土木工程信息技术研究。E-mail: renyuanc7@163. com
  • 基金资助:
    国家重点研发计划项目 (2017YFC0704200)

Decision-Making Model and Algorithm for the Equipment Maintenance Strategy Under the Centralized Management in Business Park Areas

REN Yuan MA Zhiliang XIANG Xinglei   

  1. Department of Civil Engineering,Tsinghua University,Beijing 100084,China
  • Received:2019-11-20 Revised:2020-05-06 Online:2020-09-25 Published:2020-09-01
  • Contact: 马智亮 (1963-),男,教授,主要从事土木工程信息技术研究。 E-mail:mazl@tsinghua.edu.cn
  • About author:任远 (1994-),男,博士生,主要从事土木工程信息技术研究。E-mail: renyuanc7@163. com
  • Supported by:
    Supported by the National Key Research and Development Program of China ( 2017YFC0704200)

摘要: 园区业主集中管理多个设施时,难以协调各维护单位进行园区整体层面最优的维护决策。为解决此问题,本研究在先前成果的基础上,将集中管理下的园区设备维护策略决策问题归结为背包问题,建立了数学模型,明确了适用于该模型的求解算法并进行了必要改进,最后用一个带有实际背景的案例进行了验证。结果表明,集中管理下,园区可借助该数学模型及算法科学、定量地实现整体层面的设备维护策略的最优决策,得到优于经验决策结果的最优维护方案,最大程度地避免设备故障损失。

关键词: 维护管理, 背包问题, 优化算法, 维护策略

Abstract: It is difficult for business park area owners who manage multiple facilities centrally to coordinate with employed maintenance organizations to make maintenance decisions optimal for the entire business park area. This study,based on the results of previous studies,refines the problem of decision-making of equipment maintenance strategies under the centralized management as a knapsack problem and establishes the mathematical model. Then,an algorithm is selected and necessary improvement is made on the algorithm for solving the problem. A case with actual background validates the model and the algorithm. The results show that business park areas under the cen-tralized management can use the solution to make better equipment maintenance decisions than empirical methods scientifically and quantitively to avoid the most failure loss.

Key words: maintenance management, knapsack problem, optimization algorithm, maintenance strategy

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