A Mathematical Model Under Uncertainty for Optimizing Medicine Logistics in Hospitals

Carlos Franco, Eduyn Ramiro López-Santana, Juan Carlos Figueroa-García

Resultado de la investigación: Capítulo en Libro/Reporte/ConferenciaContribución a la conferencia

Resumen

Managing resources in hospitals is one of the most challenging duties in healthcare. The complexity of supply chain management in hospitals is high due to different factors such as life cycle of medicines, demand uncertainty, variation of prices, monetary resources, space constraints, among others. The main important factor of the supply chain in hospitals is the welfare of patients which depends of the correct management and administration of medicines, in this way backorders or stockouts are not allowed. In this paper we propose a mathematical model to make real planning over a health care supply chain considering real factors face by decision makers. For testing results we have used real data considering different sources of uncertainty. We have choose 5 different types of medicines and run the optimization model to determine the optimal solution over a set of scenarios generated for modeling uncertainty. For testing the results, we have compare over a year planning the results obtained by our policy and the results obtained by the hospital, improving the results in terms of costs.

Idioma originalInglés estadounidense
Título de la publicación alojadaApplied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings
EditoresPablo Andres Maya Duque, Juan G. Villegas, Juan Carlos Figueroa-García, Juan Rafael Orozco-Arroyave
EditorialSpringer
Páginas53-60
Número de páginas8
ISBN (versión impresa)9783030003524
DOI
EstadoPublicada - 2018
Evento5th Workshop on Engineering Applications, WEA 2018 - Medellín, Colombia
Duración: oct 17 2018oct 19 2018

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen916
ISSN (versión impresa)1865-0929

Conferencia

Conferencia5th Workshop on Engineering Applications, WEA 2018
País/TerritorioColombia
CiudadMedellín
Período10/17/1810/19/18

All Science Journal Classification (ASJC) codes

  • Informática (todo)
  • Matemáticas (todo)

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