SERVICE NEEDS FORECASTING: An Approach for the Motor Industry Using Analogies with Medical ER Management Models.

Perez Salaverria, Miguel Angel (2009). SERVICE NEEDS FORECASTING: An Approach for the Motor Industry Using Analogies with Medical ER Management Models.. En: "3 rd International Conference on Industrial Engineering and Industrial Management. XIII Congreso de Ingeniería de Organización", 02/09/2009 - 04/09/2009, Barcelona, España.

Descripción

Título: SERVICE NEEDS FORECASTING: An Approach for the Motor Industry Using Analogies with Medical ER Management Models.
Autor/es:
  • Perez Salaverria, Miguel Angel
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 3 rd International Conference on Industrial Engineering and Industrial Management. XIII Congreso de Ingeniería de Organización
Fechas del Evento: 02/09/2009 - 04/09/2009
Lugar del Evento: Barcelona, España
Título del Libro: Proceedings of 3 rd International Conference on Industrial Engineering and Industrial Management. XIII Congreso de Ingeniería de Organización
Fecha: 2009
Materias:
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

During the past years, the industry has shifted position and moved towards “the luxury universe” whose customers are demanding, treating individuals as unique and valued customer for the business, offering vehicles produced with the state of the art technologies and implementing the highest finishing standards. Due to the competitive level in the market, motor makers enable processes which equalizes customer services to E.R. management, being dealt with the maximum urgency that allows the comparison between both, car workshops and emergency rooms, where workshop bays or ramps will be equal to emergency boxes and skilled technicians are equivalent to the health care specialist, who will carry out tests and checks prior to afford any final operation, keeping the “patient” under control before it is back to normal utilization. This paper ratify a valid model for the automotive industry to estimate customer service demand forecasting under variable demand conditions using analogies with patient demand models used for the medical ER

Más información

ID de Registro: 13559
Identificador DC: http://oa.upm.es/13559/
Identificador OAI: oai:oa.upm.es:13559
Depositado por: Memoria Investigacion
Depositado el: 17 Oct 2012 07:57
Ultima Modificación: 21 Abr 2016 12:52
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