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몬테카를로 DEA를 이용한 불확실성을 고려한 효율적 공급자 선정Efficient Supplier Selection with Uncertainty Using Monte Carlo DEA
- Other Titles
- Efficient Supplier Selection with Uncertainty Using Monte Carlo DEA
- Authors
- 하정훈
- Issue Date
- 2015
- Publisher
- 한국산업경영시스템학회
- Keywords
- Supplier Selection; Monte Carlo Simulation; Supply Chain Risk; Statistical Analysis
- Citation
- 한국산업경영시스템학회지, v.38, no.1, pp.83 - 89
- Journal Title
- 한국산업경영시스템학회지
- Volume
- 38
- Number
- 1
- Start Page
- 83
- End Page
- 89
- ISSN
- 2005-0461
- Abstract
- 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.
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Related Researcher
- Ha, Chunghun
- Engineering (Department of Industrial and Data Engineering)