Observatorio de I+D+i UPM

Memorias de investigación
Thesis:
Analysing the complexity of the model-based decision making processes within the industrial management context
Year:2015
Research Areas
  • Engineering
Information
Abstract
The decision-making process plays a key role in organizations. Every decision-making process produces a final choice that may or may not prompt action. Recurrently, decision makers find themselves in the dichotomous question of following a traditional sequence decision-making process where the output of a decision is used as the input of the next stage of the decision, or following a joint decision-making approach where several decisions are taken simultaneously. The implication of the decision-making process will impact different players of the organization. The choice of the decision- making approach becomes difficult to find, even with the current literature and practitioners? knowledge. The pursuit of better ways for making decisions has been a common goal for academics and practitioners. Management scientists use different techniques and approaches to improve different types of decisions. The purpose of this decision is to use the available resources as well as possible (data and techniques) to achieve the objectives of the organization. The developing and applying of models and concepts may be helpful to solve managerial problems faced every day in different companies. As a result of this research different decision models are presented to contribute to the body of knowledge of management science. The first models are focused on the manufacturing industry and the second part of the models on the health care industry. Despite these models being case specific, they serve the purpose of exemplifying that different approaches to the problems and could provide interesting results. Unfortunately, there is no universal recipe that could be applied to all the problems. Furthermore, the same model could deliver good results with certain data and bad results for other data. A framework to analyse the data before selecting the model to be used is presented and tested in the models developed to exemplify the ideas.
International
Si
Type
Doctoral
Mark Rating
Sobresaliente
Date
11/12/2015
Participants
  • Autor: Raul Pulido Martinez (UPM)
  • Director: Alvaro Garcia Sanchez (UPM)
  • Director: Alessandor Brun (Politecnico di Milano)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ingeniería de Organización y Logística
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)