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A maintenance strategy selection method based on cloud DEMATEL-ANP
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AI
DOI：10.1007/s00500-023-09035-6.png)
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摘要
En 中文
Maintenance strategy selection is an important step in maintenance management, which is the basis for implementing maintenance optimization and formulating specific maintenance schemes. This paper takes the meta-action unit (MU) as the research object, considers the randomness and fuzziness of expert evaluation and the interaction between evaluation criteria in the selection process of maintenance strategy, and proposes a maintenance strategy selection method based on cloud DEMATEL-ANP. Firstly, DEMATEL based on cloud model is used to establish the interaction model between the main criteria, determine the weighted cloud weight of the super matrix and the inner dependencies of the sub-criteria under the same main criteria. Then, the cloud-ANP model is used to determine the outer dependencies relationship and construct the cloud super matrix, so as to obtain the cloud weight of each evaluation criteria in maintenance strategy selection. By using the subjective and objective weighting method, the evaluation of different experts on different maintenance strategy criteria is integrated, and the priority of alternative maintenance strategies of MU is obtained. Finally, different methods are used to sort and compare the alternative maintenance strategies of the rotating body rotation MU of the CNC turntable, which verifies the scientificity and effectiveness of the maintenance strategy selection method based on cloud DEMATEL-ANP are verified.
Keyword:
Maintenance strategy selection
Cloud model
DEMATEL-ANP
Multi-criteria decision-making
期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
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