How to front the physical distancing requirement within workforce scheduling: empirical investigation through an optimization model
This work is focused on workforce scheduling for assembly lines with the additional constraint of workforce distancing. The aim is to warrant the necessary safety and health requirements due to COVID-19. The research stems within an industrial case in which a methodology has been developed with the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Production and Manufacturing Research: An Open Access Journal |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21693277.2022.2097139 |
| _version_ | 1811296409162350592 |
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| author | Riccio Carlo Menanno Marialuisa Savino Matteo M. |
| author_facet | Riccio Carlo Menanno Marialuisa Savino Matteo M. |
| author_sort | Riccio Carlo |
| collection | DOAJ |
| description | This work is focused on workforce scheduling for assembly lines with the additional constraint of workforce distancing. The aim is to warrant the necessary safety and health requirements due to COVID-19. The research stems within an industrial case in which a methodology has been developed with the objectives of i) developing a constraint optimization model considering the social distancing of workers as part of the workforce scheduling requirements and ii) investigating how the workforce distancing can affect certain production performances. Through an empirical investigation the impact of distancing on workforce allocation is appraised in terms of daily production capacity. Then, different distancing thresholds are assessed to seek the optimal balance among production performances and safety requirements. The research resulted in a tool able to adapt the scheduling sequence to those health/safety situations where the production manager needs to minimize losses in terms of production capacity, warranting the safest working conditions. |
| first_indexed | 2024-04-13T05:48:07Z |
| format | Article |
| id | doaj.art-e38cbe1098bf4298b33d1765a999374a |
| institution | Directory Open Access Journal |
| issn | 2169-3277 |
| language | English |
| last_indexed | 2024-04-13T05:48:07Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Production and Manufacturing Research: An Open Access Journal |
| spelling | doaj.art-e38cbe1098bf4298b33d1765a999374a2022-12-22T02:59:54ZengTaylor & Francis GroupProduction and Manufacturing Research: An Open Access Journal2169-32772022-12-0110154656810.1080/21693277.2022.2097139How to front the physical distancing requirement within workforce scheduling: empirical investigation through an optimization modelRiccio Carlo0Menanno Marialuisa1Savino Matteo M.2Department of Technic and Indutrial Systems Management, University of Padua, Vicenza, ItalyDepartment of Engineering, University of Sannio, Benevento, ItalyDepartment of Engineering, University of Sannio, Benevento, ItalyThis work is focused on workforce scheduling for assembly lines with the additional constraint of workforce distancing. The aim is to warrant the necessary safety and health requirements due to COVID-19. The research stems within an industrial case in which a methodology has been developed with the objectives of i) developing a constraint optimization model considering the social distancing of workers as part of the workforce scheduling requirements and ii) investigating how the workforce distancing can affect certain production performances. Through an empirical investigation the impact of distancing on workforce allocation is appraised in terms of daily production capacity. Then, different distancing thresholds are assessed to seek the optimal balance among production performances and safety requirements. The research resulted in a tool able to adapt the scheduling sequence to those health/safety situations where the production manager needs to minimize losses in terms of production capacity, warranting the safest working conditions.https://www.tandfonline.com/doi/10.1080/21693277.2022.2097139Workforce schedulingdistancingConstraint Optimization ProblemsafetyCOVID-19sanitary requirement |
| spellingShingle | Riccio Carlo Menanno Marialuisa Savino Matteo M. How to front the physical distancing requirement within workforce scheduling: empirical investigation through an optimization model Production and Manufacturing Research: An Open Access Journal Workforce scheduling distancing Constraint Optimization Problem safety COVID-19 sanitary requirement |
| title | How to front the physical distancing requirement within workforce scheduling: empirical investigation through an optimization model |
| title_full | How to front the physical distancing requirement within workforce scheduling: empirical investigation through an optimization model |
| title_fullStr | How to front the physical distancing requirement within workforce scheduling: empirical investigation through an optimization model |
| title_full_unstemmed | How to front the physical distancing requirement within workforce scheduling: empirical investigation through an optimization model |
| title_short | How to front the physical distancing requirement within workforce scheduling: empirical investigation through an optimization model |
| title_sort | how to front the physical distancing requirement within workforce scheduling empirical investigation through an optimization model |
| topic | Workforce scheduling distancing Constraint Optimization Problem safety COVID-19 sanitary requirement |
| url | https://www.tandfonline.com/doi/10.1080/21693277.2022.2097139 |
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