Framework for formulating competence-aware scheduling models in mixed-model assembly
(2023)
Production processes and product evolution in the age of disruption : proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023).
In Lecture notes in mechanical engineering
p.552-561
- Author
- Carlos Miguel Palao (UGent) , Steven Hoedt (UGent) , Pieter Leyman (UGent) , El-Houssaine Aghezzaf (UGent) and Johannes Cottyn (UGent)
- Organization
- Abstract
- The complexity increase in mixed-model assembly due to mass customization can be moderated by the inherent flexibility of multi-skilled operators. The training of these operators needs to be planned together with production schedules. This paper proposes a framework for formulating competence-aware scheduling models in mixed-model assembly that simultaneously achieve assembly performance and workforce development goals. We consider several elements: process and cost formulations, which reflect the functioning of the manufacturing process; a workforce development mechanism and a trade-off mechanism, respectively ensuring operator competence improvement and allowing the user to weigh competence development against assembly performance. Competence modelling should be included to assess which competences are required in a task and to estimate operators’ characteristics, performance and development. In further research, the framework will be implemented to build workforce robustness while considering operator competence evolution. Such a model will assess the competence-wise feasibility of production plans and propose optimal competence-aware task schedules.
- Keywords
- Learning, Forgetting, Mixed-model assembly, Scheduling, Competence-aware
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Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01H9SZ5Q4XAXACWWZSY07ATMWE
- MLA
- Miguel Palao, Carlos, et al. “Framework for Formulating Competence-Aware Scheduling Models in Mixed-Model Assembly.” Production Processes and Product Evolution in the Age of Disruption : Proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023), edited by Francisco Gabriele Galizia and Marco Bortolini, Springer, 2023, pp. 552–61, doi:10.1007/978-3-031-34821-1_60.
- APA
- Miguel Palao, C., Hoedt, S., Leyman, P., Aghezzaf, E.-H., & Cottyn, J. (2023). Framework for formulating competence-aware scheduling models in mixed-model assembly. In F. G. Galizia & M. Bortolini (Eds.), Production processes and product evolution in the age of disruption : proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023) (pp. 552–561). https://doi.org/10.1007/978-3-031-34821-1_60
- Chicago author-date
- Miguel Palao, Carlos, Steven Hoedt, Pieter Leyman, El-Houssaine Aghezzaf, and Johannes Cottyn. 2023. “Framework for Formulating Competence-Aware Scheduling Models in Mixed-Model Assembly.” In Production Processes and Product Evolution in the Age of Disruption : Proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023), edited by Francisco Gabriele Galizia and Marco Bortolini, 552–61. Springer. https://doi.org/10.1007/978-3-031-34821-1_60.
- Chicago author-date (all authors)
- Miguel Palao, Carlos, Steven Hoedt, Pieter Leyman, El-Houssaine Aghezzaf, and Johannes Cottyn. 2023. “Framework for Formulating Competence-Aware Scheduling Models in Mixed-Model Assembly.” In Production Processes and Product Evolution in the Age of Disruption : Proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023), ed by. Francisco Gabriele Galizia and Marco Bortolini, 552–561. Springer. doi:10.1007/978-3-031-34821-1_60.
- Vancouver
- 1.Miguel Palao C, Hoedt S, Leyman P, Aghezzaf E-H, Cottyn J. Framework for formulating competence-aware scheduling models in mixed-model assembly. In: Galizia FG, Bortolini M, editors. Production processes and product evolution in the age of disruption : proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023). Springer; 2023. p. 552–61.
- IEEE
- [1]C. Miguel Palao, S. Hoedt, P. Leyman, E.-H. Aghezzaf, and J. Cottyn, “Framework for formulating competence-aware scheduling models in mixed-model assembly,” in Production processes and product evolution in the age of disruption : proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023), Bologna, Italy, 2023, pp. 552–561.
@inproceedings{01H9SZ5Q4XAXACWWZSY07ATMWE,
abstract = {{The complexity increase in mixed-model assembly due to mass customization can be moderated by the inherent flexibility of multi-skilled operators. The training of these operators needs to be planned together with production schedules. This paper proposes a framework for formulating competence-aware scheduling models in mixed-model assembly that simultaneously achieve assembly performance and workforce development goals. We consider several elements: process and cost formulations, which reflect the functioning of the manufacturing process; a workforce development mechanism and a trade-off mechanism, respectively ensuring operator competence improvement and allowing the user to weigh competence development against assembly performance. Competence modelling should be included to assess which competences are required in a task and to estimate operators’ characteristics, performance and development. In further research, the framework will be implemented to build workforce robustness while considering operator competence evolution. Such a model will assess the competence-wise feasibility of production plans and propose optimal competence-aware task schedules.}},
author = {{Miguel Palao, Carlos and Hoedt, Steven and Leyman, Pieter and Aghezzaf, El-Houssaine and Cottyn, Johannes}},
booktitle = {{Production processes and product evolution in the age of disruption : proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023)}},
editor = {{Galizia, Francisco Gabriele and Bortolini, Marco}},
isbn = {{9783031348211}},
issn = {{2195-4356}},
keywords = {{Learning,Forgetting,Mixed-model assembly,Scheduling,Competence-aware}},
language = {{eng}},
location = {{Bologna, Italy}},
pages = {{552--561}},
publisher = {{Springer}},
title = {{Framework for formulating competence-aware scheduling models in mixed-model assembly}},
url = {{http://doi.org/10.1007/978-3-031-34821-1_60}},
year = {{2023}},
}
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