Preventive spare parts supply strategy for large-scale equipment based on performance degradation

Yongjia Gao, Jieyu Liu, Can Li, Qiang Shen, Ruiyan Zhang and Zhichao Feng

PLOS ONE, 2026, vol. 21, issue 6, 1-29

Abstract: Timely replacement of spare parts can improve the reliability of large-scale equipment operation and is the critical link of preventive maintenance. This paper studies how to reasonably formulate spare parts supply strategy in large-scale equipment maintenance. Given the shortcomings of the conventional fixed cycle replacement method of equipment spare parts, a spare parts replacement method based on large-scale equipment performance degradation is proposed. The proposed method can shorten downtime and avoid waste. Firstly, by analyzing the large-scale equipment’s performance state characteristics, the performance evaluation model of the equipment is established using the interval evidential reasoning approach, and the envelope of performance degradation can be obtained. Weibull distribution is used to fit the performance degradation envelope, and the bisection method and maximum likelihood estimation method are combined to identify the model parameters. The health degree envelope of large-scale equipment performance is obtained. Then, the number of spare parts required is calculated based on health degree expectation. Considering the time required for ordering and transporting spare parts, the spare parts ordering strategy is formulated under the condition of large-scale equipment working simultaneously. Finally, the proposed method is applied to a type of large-scale equipment to verify the effectiveness of the proposed method.

Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0348476 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 48476&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0348476

DOI: 10.1371/journal.pone.0348476

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().