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Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms
- Source :
- Addi. Archivo Digital para la Docencia y la Investigación, instname, Applied Sciences, Vol 9, Iss 15, p 3068 (2019), Applied Sciences, Volume 9, Issue 15
- Publication Year :
- 2019
- Publisher :
- MDPI, 2019.
-
Abstract
- Maintenance has always been a key activity in the manufacturing industry because of its economic consequences. Nowadays, its importance is increasing thanks to the &ldquo<br />Industry 4.0&rdquo<br />or &ldquo<br />fourth industrial revolution&rdquo<br />There are more and more complex systems to maintain, and maintenance management must gain efficiency and effectiveness in order to keep all these devices in proper conditions. Within maintenance, Condition-Based Maintenance (CBM) programs can provide significant advantages, even though often these programs are complex to manage and understand. For this reason, several research papers propose approaches that are as simple as possible and can be understood by users and modified by experts. In this context, this paper focuses on CBM optimization in an industrial environment, with the objective of determining the optimal values of preventive intervention limits for equipment under corrective and preventive maintenance cost criteria. In this work, a cost-benefit mathematical model is developed. It considers the evolution in quality and production speed, along with condition based, corrective and preventive maintenance. The cost-benefit optimization is performed using a Multi-Objective Evolutionary Algorithm. Both the model and the optimization approach are applied to an industrial case.
- Subjects :
- 0209 industrial biotechnology
Computer science
media_common.quotation_subject
Evolutionary algorithm
Optimal maintenance
Context (language use)
02 engineering and technology
lcsh:Technology
lcsh:Chemistry
020901 industrial engineering & automation
Manufacturing
production systems
0202 electrical engineering, electronic engineering, information engineering
Production (economics)
General Materials Science
Quality (business)
Instrumentation
lcsh:QH301-705.5
media_common
Fluid Flow and Transfer Processes
business.industry
lcsh:T
Process Chemistry and Technology
Condition-based maintenance
General Engineering
Preventive maintenance
lcsh:QC1-999
Computer Science Applications
Risk analysis (engineering)
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
020201 artificial intelligence & image processing
business
lcsh:Engineering (General). Civil engineering (General)
optimization
lcsh:Physics
condition-based maintenance
multi-objective evolutionary algorithms
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Addi. Archivo Digital para la Docencia y la Investigación, instname, Applied Sciences, Vol 9, Iss 15, p 3068 (2019), Applied Sciences, Volume 9, Issue 15
- Accession number :
- edsair.doi.dedup.....4a951be47a59f436ccd6d179add6674a