Computational Optimization and Applications

, Volume 40, Issue 3, pp 321–349

Stochastic programming for nurse assignment

  • Prattana Punnakitikashem
  • Jay M. Rosenberger
  • Deborah Buckley Behan
Article

DOI: 10.1007/s10589-007-9084-2

Cite this article as:
Punnakitikashem, P., Rosenberger, J.M. & Buckley Behan, D. Comput Optim Appl (2008) 40: 321. doi:10.1007/s10589-007-9084-2

Abstract

We present a brief overview of four phases of nurse planning. For the last phase, which assigns nurses to patients, a stochastic integer programming model is developed. A Benders’ decomposition approach is proposed to solve this problem, and a greedy algorithm is employed to solve the recourse subproblem. To improve the efficiency of the algorithm, we introduce sets of valid inequalities to strengthen a relaxed master problem. Computational results are provided based upon data from Baylor Regional Medical Center in Grapevine, Texas. Finally, areas of future research are discussed.

Keywords

Nurse assignment Stochastic programming Benders’ decomposition L-shaped method 

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Prattana Punnakitikashem
    • 1
  • Jay M. Rosenberger
    • 2
  • Deborah Buckley Behan
    • 3
  1. 1.School of Business AdministrationNational Institute of Development AdministrationBangkokThailand
  2. 2.Department of Industrial and Manufacturing Systems EngineeringThe University of Texas at ArlingtonArlingtonUSA
  3. 3.School of NursingThe University of Texas at ArlingtonArlingtonUSA

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