Case study on the ambulance location in the Dominican republic도미니카 공화국의 구급차 위치에 관한 사례 연구
Since the 1980s, several studies have been conducted on the accurate estimation of expected coverage for the emergency medical service (EMS) location problem framework. In this thesis, we proposed a location covering model based on the Maximum Expected Coverage Location Problem (MEXCLP) formulation, which includes server-specific workloads. The workload of each server is obtained through a multiple server hypercube queueing model. Given the interdependency of the location variable and the problem parameter, heuristics should be used to obtain a solution. We solve the problem using a CPLEX Iterative Procedure and a meta-heuristic based on opposition based learning: GOjDE.
- Advisors
- Lee, Taesikresearcher; 이태식researcher
- Description
- 한국과학기술원 :산업및시스템공학과,
- Publisher
- 한국과학기술원
- Issue Date
- 2020
- Identifier
- 325007
- Language
- eng
- Description
학위논문(석사) - 한국과학기술원 : 산업및시스템공학과, 2020.2,[iii, 56 p. :]
- Keywords
Emergency vehicles▼aProbabilistic location models▼aHypercube queueing model▼aDifferential Algorithms▼aOpposition Based Learning; 구급차▼a확률적 위치 최적화▼a유전알고리즘▼a하이퍼 큐브 큐잉 모형
- Appears in Collection
- IE-Theses_Master(석사논문)
- Files in This Item
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.