In order to deal with high uncertainty and variability in emergency medical centers, many researchers have developed various models for their operational planning and scheduling. However, most of the models just provide static plans without any risk measures as their results, and thus the users often lose the opportunity to analyze how much risk the patients have, whether the plan is still implementable or how the plan should be changed when an unexpected event happens. In this study, we construct a simulation model combined with a risk-based planning and scheduling module designed by Simio LLC. In addition to static schedules, it provides possibility of treatment delay for each patient as a risk measure, and updates the schedule to avoid the risk when it is needed. By using the simulation model, the users can experiment various scenarios in operations quickly, and also can make a decision not based on their past experience or intuition but based on scientific estimation of risks even in urgent situations. An example of such an operational decision making process is demonstrated for a real mid-size emergency medical center located in Seoul, Republic of Korea. The model is designed for temporal short-term planning especially, but it can be expanded for long-term planning also with some appropriate adjustments.

1. 서 론
 2. 시뮬레이션 모델
  2.1 시뮬레이션 모델 개요
  2.2 위험기반 운영계획
 3. 응급의료센터 적용 사례
  3.1 시뮬레이션 결과물
  3.2 위험 기반 운영계획 변경 대안 제시
  3.3 기타 모델 확장 활용 방안
 4. 결 론
 References

• Mi Lim Lee(School of Business Administration, Hongik University) | 이미림 Corresponding Author
• Jinpyo Lee(School of Business Administration, Hongik University) | 이진표
• Minjae Park(School of Business Administration, Hongik University) | 박민재