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몬테카를로 DEA를 이용한 불확실성을 고려한 효율적 공급자 선정 KCI 등재
Efficient Supplier Selection with Uncertainty Using Monte Carlo DEA
하정훈
- 언어KOR
- URLhttps://db.koreascholar.com/Article/Detail/319647
4,000원
한국산업경영시스템학회지
(Journal of Society of Korea Industrial and Systems Engineering)
Vol. 38 No. 1 (2015.03)
pp.83-89
pp.83-89
한국산업경영시스템학회
(Society of Korea Industrial and Systems Engineering)
초록
Selection of efficient supplier is a very important process as risk or uncertainty of a supply chain and its environment are increasing. Previous deterministic DEA and probabilistic DEAs are very limited to handle various types of risk and uncertainty. In this paper, I propose an improved probabilistic DEA which consists of two steps; Monte Carlo simulation and statistical decision making. The simulation results show that the proposed method is proper to distinguish supplier’s performance and provide statistical decision background.
키워드
Supplier SelectionMonte Carlo SimulationSupply Chain RiskStatistical Analysis
목차
1. 서 론
2. 기존연구
3. Monte Carlo DEA(MCDEA)
4. 모의실험 및 결과
4.1 공급자 자료
4.2 이상적 DMU를 적용하지 않은 효율성
4.3 MCDEA을 적용한 DMU 효율성
5. 결 론
Acknowledgement
References
2. 기존연구
3. Monte Carlo DEA(MCDEA)
4. 모의실험 및 결과
4.1 공급자 자료
4.2 이상적 DMU를 적용하지 않은 효율성
4.3 MCDEA을 적용한 DMU 효율성
5. 결 론
Acknowledgement
References
저자
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