A framework for conceptualizing integrated prescriptive maintenance and production planning and control models
Goal: This study aims to support researchers and managers in conceptualising new integrated prescriptive maintenance (PxM) and production planning and control (PPC) models. Design / Methodology / Approach: We perform a systematic literature review based on Thomé et al. (2016) and analyse literary...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Engenharia de Produção (ABEPRO)
2024-09-01
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| Series: | Brazilian Journal of Operations & Production Management |
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| Online Access: | https://www.bjopm.org.br/bjopm/article/view/2172 |
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| _version_ | 1823861024667729920 |
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| author | Kevin Wesendrup Bernd Hellingrath Zoi Nikolarakis |
| author_facet | Kevin Wesendrup Bernd Hellingrath Zoi Nikolarakis |
| author_sort | Kevin Wesendrup |
| collection | DOAJ |
| description |
Goal: This study aims to support researchers and managers in conceptualising new integrated prescriptive maintenance (PxM) and production planning and control (PPC) models.
Design / Methodology / Approach: We perform a systematic literature review based on Thomé et al. (2016) and analyse literary findings using qualitative content analysis and quantitative correlation analyses.
Results: This work identifies 94 integrated PxM and PPC planning models and 47 outcomes, 16 decision variables and 34 environment entities. Based on the quantitative analyses of these components, we derive a normative framework to guide researchers and practitioners in conceptualising integrated models.
Limitations of the investigation: The study is limited to only one scientific database. Additionally, the quantitative analyses might be sensitive due to a low sample size for some components, and we only measure the linear dependency between two components. Lastly, we do not address solution algorithms.
Practical implications: The framework constitutes a tool for managers to construct integrated models tailored to their specific planning problems, fostering alignment between production and maintenance departments, plans and controls.
Originality / Value: We provide a descriptive overview and normative guidance in the selection of components that can or should be used for future PxM-aligned PPC planning studies, pinpointing possible research gaps.
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| format | Article |
| id | doaj-art-51d50d158a7a46208c9e5d79c0a6e082 |
| institution | Kabale University |
| issn | 2237-8960 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Associação Brasileira de Engenharia de Produção (ABEPRO) |
| record_format | Article |
| series | Brazilian Journal of Operations & Production Management |
| spelling | doaj-art-51d50d158a7a46208c9e5d79c0a6e0822025-02-10T05:21:37ZengAssociação Brasileira de Engenharia de Produção (ABEPRO)Brazilian Journal of Operations & Production Management2237-89602024-09-0121310.14488/BJOPM.2172.2024A framework for conceptualizing integrated prescriptive maintenance and production planning and control modelsKevin Wesendrup0Bernd Hellingrath1Zoi Nikolarakis2University of Münster, Münster, Germany.University of Münster, Germany.University of Münster, Münster, Germany. Goal: This study aims to support researchers and managers in conceptualising new integrated prescriptive maintenance (PxM) and production planning and control (PPC) models. Design / Methodology / Approach: We perform a systematic literature review based on Thomé et al. (2016) and analyse literary findings using qualitative content analysis and quantitative correlation analyses. Results: This work identifies 94 integrated PxM and PPC planning models and 47 outcomes, 16 decision variables and 34 environment entities. Based on the quantitative analyses of these components, we derive a normative framework to guide researchers and practitioners in conceptualising integrated models. Limitations of the investigation: The study is limited to only one scientific database. Additionally, the quantitative analyses might be sensitive due to a low sample size for some components, and we only measure the linear dependency between two components. Lastly, we do not address solution algorithms. Practical implications: The framework constitutes a tool for managers to construct integrated models tailored to their specific planning problems, fostering alignment between production and maintenance departments, plans and controls. Originality / Value: We provide a descriptive overview and normative guidance in the selection of components that can or should be used for future PxM-aligned PPC planning studies, pinpointing possible research gaps. https://www.bjopm.org.br/bjopm/article/view/2172Prescriptive maintenanceProduction planning and controlCondition-based maintenanceModellingReview |
| spellingShingle | Kevin Wesendrup Bernd Hellingrath Zoi Nikolarakis A framework for conceptualizing integrated prescriptive maintenance and production planning and control models Brazilian Journal of Operations & Production Management Prescriptive maintenance Production planning and control Condition-based maintenance Modelling Review |
| title | A framework for conceptualizing integrated prescriptive maintenance and production planning and control models |
| title_full | A framework for conceptualizing integrated prescriptive maintenance and production planning and control models |
| title_fullStr | A framework for conceptualizing integrated prescriptive maintenance and production planning and control models |
| title_full_unstemmed | A framework for conceptualizing integrated prescriptive maintenance and production planning and control models |
| title_short | A framework for conceptualizing integrated prescriptive maintenance and production planning and control models |
| title_sort | framework for conceptualizing integrated prescriptive maintenance and production planning and control models |
| topic | Prescriptive maintenance Production planning and control Condition-based maintenance Modelling Review |
| url | https://www.bjopm.org.br/bjopm/article/view/2172 |
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