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Multi-objective admission planning problem: a two-stage stochastic approach

  • Ana BatistaEmail author
  • Jorge Vera
  • David Pozo
Article
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Abstract

Effective admission planning can improve inpatient throughput and waiting times, resulting in better quality of service. The uncertainty in the patient arrival and the availability of resources makes the patient’s allocation difficult to manage. Thus, in the admission process hospitals aim to accomplish targets of resource utilization and to lower the cost of service. Both objectives are related and in conflict. In this paper, we present a bi-objective stochastic optimization model to study the trade-off between the resource utilization and the cost of service, taking into account demand and capacity uncertainties. Real data from the surgery and medical areas of a Chilean public hospital are used to illustrate the approach. The results show that the solutions of our approach outperform the actual practice in the Chilean hospital.

Keywords

Admission planning Bi-objective Stochastic Uncertainty Bed capacity planning Resource allocation 

Notes

Acknowledgements

This research was supported by CONICYT under Grant 6635/2014 and FONDEF project CA13I10319. Author J. Vera would like to acknowledge the support of Iniciativa Milenio grant ICM/FIC RC130003. The authors would like to thank the collaboration of the managers of the Chilean Hospital used in this research as they provide data and insights used to solve the problem presented in this paper.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Industrial and Systems Engineering, School of EngineeringPontificia Universidad Católica de ChileSantiagoChile
  2. 2.Center for Energy Science and TechnologySkolkovo Institute of Science and TechnologyMoscowRussia
  3. 3.Institute for Mathematical and Computational EngineeringPontificia Universidad Católica de ChileSantiagoChile

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