Envy-Free Allocation by Sperner's Lemma Adapted to Rotation Shifts in a Company

Lantarón Sánchez, Sagrario ORCID: https://orcid.org/0000-0002-6616-3641, López González, M. Dolores ORCID: https://orcid.org/0000-0002-9974-7918, Merchán Rubira, Susana ORCID: https://orcid.org/0000-0002-4463-8140, Rodrigo Hitos, Javier ORCID: https://orcid.org/0000-0003-3590-8791 and Rodríguez, José Samuel (2021). Envy-Free Allocation by Sperner's Lemma Adapted to Rotation Shifts in a Company. "Mathematics", v. 9 (n. 9); p. 1015. ISSN 2227-7390. https://doi.org/10.3390/math9091015.

Descripción

Título: Envy-Free Allocation by Sperner's Lemma Adapted to Rotation Shifts in a Company
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Mathematics
Fecha: 30 Abril 2021
ISSN: 2227-7390
Volumen: 9
Número: 9
Materias:
Palabras Clave Informales: envy-free allocation; rental harmony; probabilistic preferences; combinatorial optimization; Sperner’s lemma; rotating shifts
Escuela: E.T.S.I. Caminos, Canales y Puertos (UPM)
Departamento: Matemática e Informática Aplicadas a la Ingenierías Civil y Naval
Licencias Creative Commons: Reconocimiento

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Resumen

This article discusses a theoretical construction based on the graph theory to rework the space of potential partitions in envy-free distribution. This work has the objective of applying Sperner's lemma to the distribution of three rotating shifts for three workers who are to cover a 24 h job position in a company. As a novel feature, worker's preferences have been modeled as functions of probability for the three shifts, according to salary offers for said shifts. Envy-free allocation was achieved, since each worker received their preferred shift without the need for negotiation between agents in conflict. Adaptation to the type of dynamic situations that arise with rotating shifts, as well as the consideration of probabilistic preferences by workers are some of the main novelties of this work.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
PDI2019-110712GB-100
Sin especificar
Sin especificar
Sin especificar
Gobierno de España
PID2019-104735RB-C42
Sin especificar
Sin especificar
Sin especificar

Más información

ID de Registro: 88477
Identificador DC: https://oa.upm.es/88477/
Identificador OAI: oai:oa.upm.es:88477
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/9337650
Identificador DOI: 10.3390/math9091015
URL Oficial: https://www.mdpi.com/2227-7390/9/9/1015
Depositado por: iMarina Portal Científico
Depositado el: 25 Mar 2025 10:27
Ultima Modificación: 25 Mar 2025 10:27