Application of dynamic maintenance strategy model based on group information and reliability

被引:1
作者
Afzalinejad, Mohamad Javad [1 ]
机构
[1] Islamic Azad Univ, Dept Ind Engn, Elect Branch, Tehran, Iran
关键词
Predictive maintenance; Multi-component systems; System maintenance strategy; Maintenance cost; SYSTEMS;
D O I
10.1007/s12597-024-00780-2
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Experts in a variety of businesses have always considered choosing the right maintenance strategy to be a critical concern. Over the years, a variety of maintenance strategies have generally been offered; nevertheless, some researchers have taken steps to provide contingency strategies fit for the conditions as well as dynamic ones. The present research also aims to provide a proper maintenance strategy and compare it with other maintenance strategies from the perspective of experts. Therefore, first, the proposed method is fully described, and then, using the SWARA and COPRAS methods, a comparison is made between the proposed maintenance strategy and seven important maintenance strategies such as reliability-centered maintenance, condition-based maintenance, corrective maintenance, preventive maintenance, time-based maintenance, and failure-based maintenance. However, to determine the appropriate criteria, 13 criteria were extracted from the literature review, the important criteria included cost, time, reliability, etc. According to the expert population of this research including 10 maintenance experts in Tehran city and different industries, the ranking was done and finally, it was found that the proposed method had a noticeable superiority over other methods followed by reliability-centered maintenance and preventive maintenance.
引用
收藏
页码:55 / 76
页数:22
相关论文
共 38 条
  • [1] Ordering Policy Estimation for High Utility Item-Sets Considering Negative Item Values in Large Databases
    Agarwal, Reshu
    [J]. INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY, 2022, 14 (01)
  • [2] Method for Mining Frequent Item Sets Considering Average Utility
    Agarwal, Reshu
    Gautam, Arti
    Saksena, Ayush Kumar
    Rai, Amrita
    Karatangi, Shylaja VinayKumar
    [J]. 2021 INTERNATIONAL CONFERENCE ON EMERGING SMART COMPUTING AND INFORMATICS (ESCI), 2021, : 275 - 278
  • [3] Loss Profit Estimation Using Temporal Association Rule Mining
    Agarwal, Reshu
    Mittal, Mandeep
    Pareek, Sarla
    [J]. INTERNATIONAL JOURNAL OF BUSINESS ANALYTICS, 2016, 3 (01) : 45 - 57
  • [4] Alaei M., 2018, AERONAUT ENG SCI RES
  • [5] Managing engineering systems with large state and action spaces through deep reinforcement learning
    Andriotis, C. P.
    Papakonstantinou, K. G.
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 191
  • [6] Biswas S., 2022, Decision Making: Applications in Management and Engineering, V5, P140
  • [7] A modified EDAS model for comparison of mobile wallet service providers in India
    Biswas, Sanjib
    Pamucar, Dragan
    [J]. FINANCIAL INNOVATION, 2023, 9 (01)
  • [8] Bibliometric Analysis on the Distributed Decision, Decentralized Decision, and Fuzzy Logic
    Caglayan, Nihan
    Abbasi, Sina
    Yilmaz, Ibrahim
    Erdebilli, Babek
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2024, 2024
  • [9] Chaaban K., 2020, INTEGRATED IMPERFECT
  • [10] Selective maintenance of multi-state systems with structural dependence
    Dao, Cuong D.
    Zuo, Ming J.
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 159 : 184 - 195