Service needs forecasting: an approach for the automotive industry using analogies with medical ER management models.

Perez Salaverria, Miguel Angel (2009). Service needs forecasting: an approach for the automotive industry using analogies with medical ER management models.. In: "12th EAEC European Automitive Congrress. Europe in the Second Century of Auto-Mobility", 29/06/2009 - 01/07/2009, Bratislava, Eslovaquia. p. 102.

Description

Title: Service needs forecasting: an approach for the automotive industry using analogies with medical ER management models.
Author/s:
  • Perez Salaverria, Miguel Angel
Item Type: Presentation at Congress or Conference (Article)
Event Title: 12th EAEC European Automitive Congrress. Europe in the Second Century of Auto-Mobility
Event Dates: 29/06/2009 - 01/07/2009
Event Location: Bratislava, Eslovaquia
Title of Book: Proceedings of 12th EAEC European Automitive Congrress. Europe in the Second Century of Auto-Mobility
Date: 2009
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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, car 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 establishes 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.

More information

Item ID: 13557
DC Identifier: https://oa.upm.es/13557/
OAI Identifier: oai:oa.upm.es:13557
Official URL: http://www.eaec2009.com/
Deposited by: Memoria Investigacion
Deposited on: 17 Oct 2012 08:18
Last Modified: 21 Apr 2016 12:52
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