Constrained optimizaton for hospital bed allocation via discrete event simulation with nested partitions

Nugroho A. Pujowidianto, Loo Hay Lee, Giulia Pedrielli, Chun Hung Chen, Haobin Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper aims to further motivate the use of simulation of complex systems in optimizing healthcare operations under uncertainty. One argument to use optimization only such as mathematical programming instead of simulation optimization in making decisions is the ability of the former to account for constraints and to consider a large number of alternatives. However, current state-of-The art of simulation optimization has opened the possibilities of using both simulation and optimization in the case of multiple performance measures. We consider the case of hospital bed allocation and give an example on how a stochastically constrained optimization via simulation can be applied. Nested Partitions are used for the search algorithm and combined with OCBA-CO, an efficient simulation budget allocation, as simulation is time-consuming.

Original languageEnglish (US)
Title of host publication2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1916-1925
Number of pages10
ISBN (Electronic)9781509044863
DOIs
StatePublished - Jan 17 2017
Externally publishedYes
Event2016 Winter Simulation Conference, WSC 2016 - Arlington, United States
Duration: Dec 11 2016Dec 14 2016

Other

Other2016 Winter Simulation Conference, WSC 2016
CountryUnited States
CityArlington
Period12/11/1612/14/16

Fingerprint

Hospital beds
Discrete event simulation
Discrete Event Simulation
Partition
Simulation Optimization
Simulation
Mathematical programming
Constrained optimization
Optimization
Large scale systems
Constrained Optimization
Mathematical Programming
Decision making
Performance Measures
Healthcare
Search Algorithm
Complex Systems
Decision Making
Uncertainty
Alternatives

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Pujowidianto, N. A., Lee, L. H., Pedrielli, G., Chen, C. H., & Li, H. (2017). Constrained optimizaton for hospital bed allocation via discrete event simulation with nested partitions. In 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016 (pp. 1916-1925). [7822237] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2016.7822237

Constrained optimizaton for hospital bed allocation via discrete event simulation with nested partitions. / Pujowidianto, Nugroho A.; Lee, Loo Hay; Pedrielli, Giulia; Chen, Chun Hung; Li, Haobin.

2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1916-1925 7822237.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pujowidianto, NA, Lee, LH, Pedrielli, G, Chen, CH & Li, H 2017, Constrained optimizaton for hospital bed allocation via discrete event simulation with nested partitions. in 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016., 7822237, Institute of Electrical and Electronics Engineers Inc., pp. 1916-1925, 2016 Winter Simulation Conference, WSC 2016, Arlington, United States, 12/11/16. https://doi.org/10.1109/WSC.2016.7822237
Pujowidianto NA, Lee LH, Pedrielli G, Chen CH, Li H. Constrained optimizaton for hospital bed allocation via discrete event simulation with nested partitions. In 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1916-1925. 7822237 https://doi.org/10.1109/WSC.2016.7822237
Pujowidianto, Nugroho A. ; Lee, Loo Hay ; Pedrielli, Giulia ; Chen, Chun Hung ; Li, Haobin. / Constrained optimizaton for hospital bed allocation via discrete event simulation with nested partitions. 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1916-1925
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