지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.20 No.4
- 발행연도
- 2021.12
- 수록면
- 588 - 595 (8page)
- DOI
- 10.7232/iems.2021.20.4.588
이용수
초록· 키워드
오류제보하기
This research was conducted to study the issue of relief facility location hierarchically by consideration of possible road closure during the crisis conditions, road safety, and arrival time of relief facilities under disaster circumstances. High costs are allocated for facilities deployment in a suitable location to meet the demands of injured people. Therefore, location-allocation of emergency facility should be considered in a way to use them for long-term periods. To this end, the extant research designed a multi-objective optimization model to minimize the pre-disaster costs including costs of facilities deployment and road use, and to minimize the post-disaster costs such as cost transportation in-network roads. Moreover, the innovative part of the studied model in this research examined the road safety and reduction in time taken to have critical facilities in affected areas. To investigate the functional accuracy of the mathematical model, a numerical example with small dimensions was solved using CPLEX Solver, and required sensitivity analysis was described. As the facility location-allocation is an NP-hard issue, two meta-heuristic algorithms were used to solve numerical representations in real dimensions to examine numerical analyses effectively. Results showed that the dragonfly algorithm had the highest efficiency compared to other developed algorithms. The obtained results can be considered as an efficient managerial tool in management organizations involved in the crisis.
목차
ABSTRACT
1. INTRODUCTION
2. PROBLEM STATEMENT
3. SOLUTION METHOD
4. NUMERICAL RESULTS
5. CONCLUSIONS AND RECOMMENDATIONS
REFERENCES
참고문헌 (9)
참고문헌 신청
Alaswad, S. / 2020 / Humanitarian aid and relief distribution(HARD)game / Advances in Engineering Education 8(2):22~34
Barber, G. / 2020 / Decision support tool for enhancing supply chain management in disaster relief operations / 2020Systems and Information Engineering Design Symposium (SIEDS) :1~6
Ghasemi, P. / 2019 / Uncertain multi-objective multicommodity multi-period multi-vehicle locationallocation model for earthquake evacuation planning / Applied Mathematics and Computation 350:105~132
Ghezavati, V. / 2015 / Optimization of reliability for a hierarchical facility location problem under disaster relief situations by a chance-constrained programming and robust optimization, Proceedings of the Institution of Mechanical Engineers / Part O : Journal of Risk and Reliability 229(6):542~555
Kaveh, M. / 2019 / Improved biogeography-based optimization using migration process adjustment : An approach for location-allocation of ambulances / Computers & Industrial Engineering 135:800~813
Barber, G. / 2020 / Decision support tool for enhancing supply chain management in disaster relief operations / 2020Systems and Information Engineering Design Symposium (SIEDS) :1~6
Ghasemi, P. / 2019 / Uncertain multi-objective multicommodity multi-period multi-vehicle locationallocation model for earthquake evacuation planning / Applied Mathematics and Computation 350:105~132
Ghezavati, V. / 2015 / Optimization of reliability for a hierarchical facility location problem under disaster relief situations by a chance-constrained programming and robust optimization, Proceedings of the Institution of Mechanical Engineers / Part O : Journal of Risk and Reliability 229(6):542~555
Kaveh, M. / 2019 / Improved biogeography-based optimization using migration process adjustment : An approach for location-allocation of ambulances / Computers & Industrial Engineering 135:800~813
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