Management of surgical waiting lists through a Possibilistic Linear Multiobjective Programming problem

This study attempts to apply a management science technique to improve the efficiency of Hospital Administration. We aim to design the performance of the surgical services at a Public Hospital that allows the Decision-Maker to plan surgical scheduling over one year in order to reduce waiting lists....

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Bibliographic Details
Published in:Applied mathematics and computation 2005-08, Vol.167 (1), p.477-495
Main Authors: Pérez Gladish, Blanca, Arenas Parra, Mar, Bilbao Terol, Amelia, Rodrı́guez Urı́a, M a Victoria
Format: Article
Language:English
Subjects:
Applied sciences
Calculus of variations and optimal control
Compromise programming
Decision making
Decision theory. Utility theory
Exact sciences and technology
Fuzzy Sets
Mathematical analysis
Mathematical programming
Mathematics
Operational research and scientific management
Operational research. Management science
Sciences and techniques of general use
Surgical waiting lists
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Summary:This study attempts to apply a management science technique to improve the efficiency of Hospital Administration. We aim to design the performance of the surgical services at a Public Hospital that allows the Decision-Maker to plan surgical scheduling over one year in order to reduce waiting lists. Real decision problems usually involve several objectives that have parameters which are often given by the decision maker in an imprecise way. It is possible to handle these kinds of problems through multiple criteria models in terms of possibility theory. Here we apply a Possibilistic Linear Multiobjective Programming method, developed by the authors, for solving a hospital management problem using a Fuzzy Compromise Programming approach.
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2004.07.015