Health Care Management Science

, Volume 7, Issue 1, pp 63–71

Determining Location and Size of Medical Departments in a Hospital Network: A Multiobjective Decision Support Approach

  • Christian Stummer
  • Karl Doerner
  • Axel Focke
  • Kurt Heidenberger
Article

DOI: 10.1023/B:HCMS.0000005399.23600.69

Cite this article as:
Stummer, C., Doerner, K., Focke, A. et al. Health Care Management Science (2004) 7: 63. doi:10.1023/B:HCMS.0000005399.23600.69

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 applicability of our approach is illustrated through a numerical example based on hospital data from Germany.

hospital planningmultiobjective combinatorial optimizationtabu searchclusteringinteractive decision support

Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  • Christian Stummer
    • 1
  • Karl Doerner
    • 1
  • Axel Focke
    • 1
  • Kurt Heidenberger
    • 1
  1. 1.School of Business, Economics, and Computer Science, University of ViennaViennaAustria