A Conceptual Framework for the Generalised Assignment Problem Through a People Lens

[EN] The problem of assigning jobs to agents so that each job is assigned only once, agents are not overloaded and the associated cost is minimised has been widely used in industry, particularly in machine allocation. In some processes and industries, the agents to which tasks are to be assigned are...

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Detalles Bibliográficos
Autores: Guerrero-Moreno, Blanca María|||0000-0002-8284-501X, Mula, Josefa|||0000-0002-8447-3387, Poler, R.|||0000-0003-4475-6371
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:dnet:riunet______::c7d0813b197686c89ec5e468b000ee98
Acceso en línea:https://riunet.upv.es/handle/10251/235167
Access Level:acceso abierto
Palabra clave:Assignment
People
Industry 5.0
Conceptual framework
08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
Descripción
Sumario:[EN] The problem of assigning jobs to agents so that each job is assigned only once, agents are not overloaded and the associated cost is minimised has been widely used in industry, particularly in machine allocation. In some processes and industries, the agents to which tasks are to be assigned are human workers and, therefore, the factors to be considered in the assignment are not only technological, but rather ergonomics, appropriateness or experience in a task. This article proposes a conceptual framework to provide people aspects that can be integrated into task assignment models in an Industry 5.0 context. The objective of this paper is to identify key elements of the literature to provide the basis for a conceptual framework to guide the further development of empirical models. The results aim to focus on employee well-being in real decision-making assignment job scenarios. Finally, the main future research trends are identified.