Determining location and size of medical departments in a hospital network: A multiobjective decision support approach

Determining location and size of medical departments in a hospital network: A multiobjective decision support approach

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Article ID: iaor20052644
Country: Netherlands
Volume: 7
Issue: 1
Start Page Number: 63
End Page Number: 71
Publication Date: Jan 2004
Journal: Health Care Management Science
Authors: , , ,
Keywords: location, decision theory: multiple criteria, heuristics
Abstract:

Decisions on the location and size of medical departments in a given hospital network are prime examples of priority setting in health care, which is an issue of growing political importance. As such decisions are regularly characterized by multiple and often conflicting objectives in real-life, this paper integrates the fields of hospital planning and multiobjective decision support. The proposed two-phase solution procedure for our corresponding mathematical programming model does not require a priori preference information. Instead, it seeks efficient solutions by means of multiobjective tabu search in the first phase, while applying clustering in the second phase to allow the decision makers to interactively explore the solution space until the best configuration is determined. The real-world applicabilty of our approach is illustrated through a numerical example based on a hospital data from Germany.

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