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Team Formation Integrating Various Factors: Model and Solution Approach

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Artificial Intelligence in Project Management and Making Decisions (UCIENCIA 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1035))

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Abstract

Nowadays team formation has become a very active research topic and it is recognized as a key process for the success of organizations. This article describes a model for multiple team formation that, unlike existing models, it integrates a diversity of factors, both individual and collective and therefore it can be used in various contexts. The model includes the following factors: competences, workload, cost of communication in the team, incompatibility between members, cost of working at a distance, interest in playing the role, interest in working in the team and balance of psychological characteristics in the team. The model responds to a combinatorial optimization problem, for that reason to solve the problem it is used a library of classes of meta-heuristic algorithms. To demonstrate the applicability of the model, the results of using the model in the formation of student teams are presented.

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Authors and Affiliations

  1. Universidad Tecnológica de La Habana “José Antonio Echeverría”, Havana, Cuba

    Ana Lilian Infante, Margarita André & Alejandro Rosete

Authors
  1. Ana Lilian Infante
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  2. Margarita André
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  3. Alejandro Rosete
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Corresponding author

Correspondence to Ana Lilian Infante .

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Editors and Affiliations

  1. Departamento de Investigaciones en Gestión de Proyectos, Universidad de las Ciencias Informáticas, La Habana, Cuba

    Pedro Y. Piñero Pérez

  2. Centro de Investigaciones de la Informatica, Cuban Sciences Academy, Universidad Central “Marta Abreu” de las Villas, Santa Clara, Cuba

    Rafael E. Bello Pérez

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Infante, A.L., André, M., Rosete, A. (2022). Team Formation Integrating Various Factors: Model and Solution Approach. In: Piñero Pérez, P.Y., Bello Pérez, R.E., Kacprzyk, J. (eds) Artificial Intelligence in Project Management and Making Decisions. UCIENCIA 2021. Studies in Computational Intelligence, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-97269-1_12

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