TY - GEN
T1 - Framework for a hybrid simulation approach for an integrated decision support system in healthcare facilities
AU - Lather, Jennifer I.
AU - Messner, John I.
N1 - Funding Information:
We would like to express thanks to The Pennsylvania State University Office of Physical Plant and the Department of Emergency Medicine at the Hershey Medical Center for their support in the development of this research.
Publisher Copyright:
© 2018 IEEE
PY - 2019/1/31
Y1 - 2019/1/31
N2 - There is a lack of integration of facility planning techniques in the design and layout of healthcare facilities. Computational models can be used to evaluate minimal distances or cost functions. Discrete event simulations can be used to model the stochastic nature of operations to check the impact on specific performance measures. Visualization can be used to immerse decision makers in the future environment to aid model validity, communication, and understanding. In this paper, we discuss three techniques: mathematical optimization, discrete event simulation, and virtual visualization, and present a framework for using them in an integrated hybrid simulation modeling approach in the healthcare planning process. We present objectives for the use of these techniques throughout the lifecycle in one unit of a healthcare facility. These techniques, while described in a healthcare context, have implications for other domains where uncertain and latent processes are components of the layout decision making process.
AB - There is a lack of integration of facility planning techniques in the design and layout of healthcare facilities. Computational models can be used to evaluate minimal distances or cost functions. Discrete event simulations can be used to model the stochastic nature of operations to check the impact on specific performance measures. Visualization can be used to immerse decision makers in the future environment to aid model validity, communication, and understanding. In this paper, we discuss three techniques: mathematical optimization, discrete event simulation, and virtual visualization, and present a framework for using them in an integrated hybrid simulation modeling approach in the healthcare planning process. We present objectives for the use of these techniques throughout the lifecycle in one unit of a healthcare facility. These techniques, while described in a healthcare context, have implications for other domains where uncertain and latent processes are components of the layout decision making process.
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U2 - 10.1109/WSC.2018.8632194
DO - 10.1109/WSC.2018.8632194
M3 - Conference contribution
AN - SCOPUS:85062613575
T3 - Proceedings - Winter Simulation Conference
SP - 1406
EP - 1417
BT - WSC 2018 - 2018 Winter Simulation Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Winter Simulation Conference, WSC 2018
Y2 - 9 December 2018 through 12 December 2018
ER -