Service Capacity Reserve under Uncertainty by Hospital’s ER Analogies: A Practical Model for Car Services

Perez Salaverria, Miguel Angel y Mira McWilliams, José Manuel (2014). Service Capacity Reserve under Uncertainty by Hospital’s ER Analogies: A Practical Model for Car Services. "Mathematical Problems in Engineering", v. 2014 (n. 586236); pp. 1-18. ISSN 1563-5147. https://doi.org/10.1155/2014/586236.

Descripción

Título: Service Capacity Reserve under Uncertainty by Hospital’s ER Analogies: A Practical Model for Car Services
Autor/es:
  • Perez Salaverria, Miguel Angel
  • Mira McWilliams, José Manuel
Tipo de Documento: Artículo
Título de Revista/Publicación: Mathematical Problems in Engineering
Fecha: 2014
Volumen: 2014
Materias:
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

We define a capacity reserve model to dimension passenger car service installations according to the demographic distribution of the area to be serviced by using hospital?s emergency room analogies. Usually, service facilities are designed applying empirical methods, but customers arrive under uncertain conditions not included in the original estimations, and there is a gap between customer?s real demand and the service?s capacity. Our research establishes a valid methodology and covers the absence of recent researches and the lack of statistical techniques implementation, integrating demand uncertainty in a unique model built in stages by implementing ARIMA forecasting, queuing theory, and Monte Carlo simulation to optimize the service capacity and occupancy, minimizing the implicit cost of the capacity that must be reserved to service unexpected customers. Our model has proved to be a useful tool for optimal decision making under uncertainty integrating the prediction of the cost implicit in the reserve capacity to serve unexpected demand and defining a set of new process indicators, such us capacity, occupancy, and cost of capacity reserve never studied before. The new indicators are intended to optimize the service operation. This set of new indicators could be implemented in the information systems used in the passenger car services.

Más información

ID de Registro: 38824
Identificador DC: http://oa.upm.es/38824/
Identificador OAI: oai:oa.upm.es:38824
Identificador DOI: 10.1155/2014/586236
URL Oficial: http://www.hindawi.com/journals/mpe/2014/586236/abs/
Depositado por: Memoria Investigacion
Depositado el: 14 Ene 2016 18:22
Ultima Modificación: 21 Feb 2017 17:13
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