Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms
Maintenance has always been a key activity in the manufacturing industry because of its economic consequences. Nowadays, its importance is increasing thanks to the Industry 4.0 or fourth industrial revolution. There are more and more complex systems to maintain, and maintenance management must gain...
| Autores: | ; ; ; ; |
|---|---|
| Tipo de documento: | Artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/39091 |
| Acceso en línea: | http://hdl.handle.net/10810/39091 |
| Nivel de acceso: | Acceso abierto |
| Palabra clave: | condition-based maintenance optimization multi-objective evolutionary algorithms production systems |
| _version_ | 1878742159537995777 |
|---|---|
| author | Goti Elordi, Aitor |
| author2 | Oyarbide Zubillaga, Aitor Alberdi Celaya, Elisabete Sánchez, Ana García Bringas, Pablo |
| author2_role | author author author author |
| author_browse | Alberdi Celaya, Elisabete García Bringas, Pablo Goti Elordi, Aitor Oyarbide Zubillaga, Aitor Sánchez, Ana |
| author_facet | Goti Elordi, Aitor Oyarbide Zubillaga, Aitor Alberdi Celaya, Elisabete Sánchez, Ana García Bringas, Pablo |
| author_role | author |
| collection | Addi. Archivo Digital para la Docencia y la Investigación |
| description | Maintenance has always been a key activity in the manufacturing industry because of its economic consequences. Nowadays, its importance is increasing thanks to the Industry 4.0 or fourth industrial revolution. 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_f117fe5b5d8f4cc4d7435c5cf1f4e8ce |
| institution | Universidad del País Vasco |
| instname_str | Universidad del País Vasco |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:addi.ehu.eus:10810/39091 |
| publishDate | 2019 |
| publishDateSort | 2019 |
| publisher | MDPI |
| publisherStr | MDPI |
| reponame_str | Addi. Archivo Digital para la Docencia y la Investigación |
| spelling | Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms Goti Elordi, Aitor Oyarbide Zubillaga, Aitor Alberdi Celaya, Elisabete Sánchez, Ana García Bringas, Pablo condition-based maintenance optimization multi-objective evolutionary algorithms production systems Maintenance has always been a key activity in the manufacturing industry because of its economic consequences. Nowadays, its importance is increasing thanks to the Industry 4.0 or fourth industrial revolution. 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. This research was funded by the HAZITEK call of the Basque Government, project acronym HORDAGO. MDPI http://hdl.handle.net/10810/39091 |
| spellingShingle | Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms Goti Elordi, Aitor condition-based maintenance optimization multi-objective evolutionary algorithms production systems |
| title | Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms |
| title_full | Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms |
| title_fullStr | Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms |
| title_full_unstemmed | Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms |
| title_short | Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms |
| title_sort | Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms |
| topic | condition-based maintenance optimization multi-objective evolutionary algorithms production systems |
| topic_facet | condition-based maintenance optimization multi-objective evolutionary algorithms production systems |
| url | http://hdl.handle.net/10810/39091 |