A Local Search Algorithm for the Assignment and Work Balance of a Health Unit

Néstor Díaz-Escobar, Pamela Rodríguez, Verónica Semblantes, Robert Taylor, Daniel Morillo-Torres, Gustavo Gatica

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

In any healthcare service, guidelines regarding the number of staff and how to respond to patient demand must be followed. In Chile, to ensure there is 24/7 care, coordinators use a manual allocation model system called “The Fourth Shift” (TFS) to assign staff. The model has a four-day shift pattern which allocates 48 h of work and 48 h of rest. However, scheduling healthcare workers is always a challenge, as there are administrative, legal and individual constraints. A balanced shift assignment, meaning one that considers work hours and specific staff requests, has a significant impact on an overall work environment. To find a fair balance, this paper proposes a two-phase heuristic. The first is a constructive phase and the second is a local search phase. This paper simultaneously incorporates six Key Performance Indicators (KPIs) and chance events aiming at leveling the workload for healthcare workers. The heuristics are validated with one-month shifts for a healthcare service with 12 nurses. The results validate the effectiveness of the proposed approach by disrupting the solution with five cumulative scenarios.

Idioma originalInglés
Título de la publicación alojadaService Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future - Proceedings of SOHOMA LATIN AMERICA 2021
EditoresDamien Trentesaux, Theodor Borangiu, Paulo Leitão, Jose-Fernando Jimenez, Jairo R. Montoya-Torres
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas208-222
Número de páginas15
ISBN (versión impresa)9783030809058
DOI
EstadoPublicada - 2021
Evento1st Latin-American Workshop on Service-Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, SOHOMA LATIN AMERICA 2021 - Bogota, Colombia
Duración: 27 ene 202128 ene 2021

Serie de la publicación

NombreStudies in Computational Intelligence
Volumen987
ISSN (versión impresa)1860-949X
ISSN (versión digital)1860-9503

Conferencia

Conferencia1st Latin-American Workshop on Service-Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, SOHOMA LATIN AMERICA 2021
País/TerritorioColombia
CiudadBogota
Período27/01/2128/01/21

Áreas temáticas de ASJC Scopus

  • Inteligencia artificial

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