애스크로AIPublic Preview
← 학술논문 검색
학술논문한국경영과학회지2012.12 발행KCI 피인용 5

시뮬레이션과 최적화 모형을 혼합 적용한 구급차 위치선정 모형의 해법연구

A Study of Ambulance Location Problem Applying the Iterative Procedure of Simulation and Optimization

임영선(연세대학교 정보산업공학과); 김선훈(연세대학교 정보산업공학과); 이영훈(연세대학교)

37권 4호, 197~209쪽

초록

This paper studies an emergency service vehicle location problem, where minimum reliability level pre-specified at each demand point is assured. Several models are suggested depending on the busy fraction, which is the time proportion of unavailability for the ambulances. In this paper a new model on computing the busy fraction is suggested, where it varies depending on the distance between the demand point and ambulances, hence it may respond the more realistic situation. The busy fraction for the ambulance location determined by the optimization model is computed by the simulation, and updated through the iterative procedure. It has been shown that the performances of the solutions obtained by the algorithm suggested for the instances appeared in the literature.

Abstract

This paper studies an emergency service vehicle location problem, where minimum reliability level pre-specified at each demand point is assured. Several models are suggested depending on the busy fraction, which is the time proportion of unavailability for the ambulances. In this paper a new model on computing the busy fraction is suggested, where it varies depending on the distance between the demand point and ambulances, hence it may respond the more realistic situation. The busy fraction for the ambulance location determined by the optimization model is computed by the simulation, and updated through the iterative procedure. It has been shown that the performances of the solutions obtained by the algorithm suggested for the instances appeared in the literature.

발행기관:
한국경영과학회
DOI:
http://dx.doi.org/10.7737/JKORMS.2012.37.4.197
분류:
경영학

AI 법률 상담

이 논문의 주제에 대해 더 알고 싶으신가요?

460만+ 법률 자료에서 관련 판례·법령·해석례를 찾아 답변합니다

AI 상담 시작
시뮬레이션과 최적화 모형을 혼합 적용한 구급차 위치선정 모형의 해법연구 | 한국경영과학회지 2012 | AskLaw | 애스크로 AI