Multi-skilled workforce scheduling with training and welfare considerations
Flexibility in workforce scheduling in services is necessary to reduce the impact of demand uncertainty, absenteeism, and desertion while maintaining high service levels. This paper studies the workforce scheduling problem, including multiple skill accumulation, training, and welfare, as well as fle...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2023-09-01
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| Series: | Engineering Management in Production and Services |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/emj-2023-0018 |
| _version_ | 1827793373697671168 |
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| author | Peña Diana A. Osorio Andrés F. Orejuela Juan P. Idarraga Juan C. |
| author_facet | Peña Diana A. Osorio Andrés F. Orejuela Juan P. Idarraga Juan C. |
| author_sort | Peña Diana A. |
| collection | DOAJ |
| description | Flexibility in workforce scheduling in services is necessary to reduce the impact of demand uncertainty, absenteeism, and desertion while maintaining high service levels. This paper studies the workforce scheduling problem, including multiple skill accumulation, training, and welfare, as well as flexibility for employees and the company. All these elements are modelled and included in a mixed-integer linear programming (MILP) model that maximises their accumulated skill level. A real case study based on the scheduling of lab assistants to laboratory practices at a university in Colombia is used to generate numerical experiments. Different experiments were conducted, and the results show that the level of skill achieved is highly sensitive to the number of assistants and the number of allocations. The experiments also showed that, while keeping the same number of lab assistants, it is possible to include flexibility and welfare constraints. Finally, the proposed model can generate schedules that achieve high levels of skills and meet the different constraints of the model, including balance, accumulation, demand and welfare. |
| first_indexed | 2024-03-11T18:16:38Z |
| format | Article |
| id | doaj.art-df434defe28a4ec794838c9b9664cef4 |
| institution | Directory Open Access Journal |
| issn | 2543-912X |
| language | English |
| last_indexed | 2024-03-11T18:16:38Z |
| publishDate | 2023-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Engineering Management in Production and Services |
| spelling | doaj.art-df434defe28a4ec794838c9b9664cef42023-10-16T06:07:39ZengSciendoEngineering Management in Production and Services2543-912X2023-09-01153274110.2478/emj-2023-0018Multi-skilled workforce scheduling with training and welfare considerationsPeña Diana A.0Osorio Andrés F.1Orejuela Juan P.2Idarraga Juan C.31Universidad Icesi, Colombia2Universidad Icesi, Colombia3Escuela de Ingeniería Industrial, Universidad del Valle, Colombia4Universidad Icesi, ColombiaFlexibility in workforce scheduling in services is necessary to reduce the impact of demand uncertainty, absenteeism, and desertion while maintaining high service levels. This paper studies the workforce scheduling problem, including multiple skill accumulation, training, and welfare, as well as flexibility for employees and the company. All these elements are modelled and included in a mixed-integer linear programming (MILP) model that maximises their accumulated skill level. A real case study based on the scheduling of lab assistants to laboratory practices at a university in Colombia is used to generate numerical experiments. Different experiments were conducted, and the results show that the level of skill achieved is highly sensitive to the number of assistants and the number of allocations. The experiments also showed that, while keeping the same number of lab assistants, it is possible to include flexibility and welfare constraints. Finally, the proposed model can generate schedules that achieve high levels of skills and meet the different constraints of the model, including balance, accumulation, demand and welfare.https://doi.org/10.2478/emj-2023-0018flexibilitymultiskillingworkforce schedulingtrainingoptimisation |
| spellingShingle | Peña Diana A. Osorio Andrés F. Orejuela Juan P. Idarraga Juan C. Multi-skilled workforce scheduling with training and welfare considerations Engineering Management in Production and Services flexibility multiskilling workforce scheduling training optimisation |
| title | Multi-skilled workforce scheduling with training and welfare considerations |
| title_full | Multi-skilled workforce scheduling with training and welfare considerations |
| title_fullStr | Multi-skilled workforce scheduling with training and welfare considerations |
| title_full_unstemmed | Multi-skilled workforce scheduling with training and welfare considerations |
| title_short | Multi-skilled workforce scheduling with training and welfare considerations |
| title_sort | multi skilled workforce scheduling with training and welfare considerations |
| topic | flexibility multiskilling workforce scheduling training optimisation |
| url | https://doi.org/10.2478/emj-2023-0018 |
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