<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

Multi-skilled workforce scheduling with training and welfare considerations

Engineering Management in Production and Services

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"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...

Multi-skilled workforce scheduling with training and welfare considerations

Data publikacji: 10 paź 2023

Zakres stron: 27 - 41

Otrzymano: 15 lis 2022

Przyjęty: 15 maj 2023

DOI: https://doi.org/10.2478/emj-2023-0018

Słowa kluczowe
flexibility, multiskilling, workforce scheduling, training, optimisation

© 2023 Diana A. Peña et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Multi-skilled workforce scheduling with training and welfare considerations

Data publikacji: 10 paź 2023

Zakres stron: 27 - 41

Otrzymano: 15 lis 2022

Przyjęty: 15 maj 2023

DOI: https://doi.org/10.2478/emj-2023-0018

Słowa kluczoweflexibility, multiskilling, workforce scheduling, training, optimisation

© 2023 Diana A. Peña et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
flexibility, multiskilling, workforce scheduling, training, optimisation