Optimization-based decision support to assist in logistics planning for hospital evacuations

Roger Glick MS, MBA; Douglas R. Bish, PhD; Esra Agca, PhD(c)

doi:10.5055/jem.2013.0142

Authors

Roger Glick MS, MBA
Douglas R. Bish, PhD
Esra Agca, PhD(c)

DOI:

https://doi.org/10.5055/jem.2013.0142

Keywords:

hospital evacuation planning, emergency response logistics, optimization, decision support

Abstract

The evacuation of the hospital is a very complex process and evacuation planning is an important part of a hospital’s emergency management plan. There are numerous factors that affect the evacuation plan including the nature of threat, availability of resources and staff, the characteristics of the evacuee population, and risk to patients and staff. The safety and health of patients is of fundamental importance, but safely moving patients to alternative care facilities while under threat is a very challenging task. This article describes the logistical issues and complexities involved in planning and execution of hospital evacuations. Furthermore, this article provides examples of how optimization-based decision support tools can help evacuation planners to better plan for complex evacuations by providing real-world solutions to various evacuation scenarios.

Author Biographies

Roger Glick MS, MBA

Carilion Clinic, Roanoke, Virginia; Department of Basic Science, Virginia Tech Carilion School of Medicine, Roanoke, Virginia; Department of Pediatrics, Virginia Tech Carilion School of Medicine, Roanoke, Virginia

Douglas R. Bish, PhD

Grado Department of Industrial and Systems Engineering (0118), Virginia Tech, Blacksburg, Virginia

Esra Agca, PhD(c)

Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia

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