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A Research on the Combined Maintenance Strategy for Production Line Equipment Based on Mixed Failure Rate
- Source :
- Mathematical Problems in Engineering, Vol 2021 (2021)
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- In order to improve the reliability of the production line and reduce its maintenance costs, this paper establishes preventive maintenance (PM) models of the equipment, which are classified into different levels based on mixed failure rate. The differential and targeted maintaining strategies are formulated as well. First, a method for dividing important equipment and secondary equipment of a production line based on grey interval Analytic Hierarchy Process- (AHP-) Entropy method is proposed. Next, the dynamic service age regression factor and the dynamic failure rate increasing factor are combined to establish a mixed failure rate model. Finally, for the important equipment and secondary equipment, two PM models are established with the constraint of reliability, the objective of maximum availability, and minimum maintenance cost rate to determine the optimal number of PM and cycles. Combined with an example of production line equipment, the optimal maintenance strategies for important equipment and secondary equipment are obtained. The result verified the feasibility of the model, which effectively improved the reliability of the production line equipment and reduced maintenance costs.
- Subjects :
- Production line
0209 industrial biotechnology
021103 operations research
Article Subject
Computer science
General Mathematics
education
0211 other engineering and technologies
General Engineering
Optimal maintenance
Analytic hierarchy process
Failure rate
02 engineering and technology
Interval (mathematics)
Engineering (General). Civil engineering (General)
Preventive maintenance
Reliability engineering
020901 industrial engineering & automation
QA1-939
Entropy (information theory)
TA1-2040
Mathematics
Reliability (statistics)
Subjects
Details
- ISSN :
- 15635147 and 1024123X
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....0eeb9249326252431c8122c75f219d8b