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Dexiang Wu
Researcher at Beihang University
Publications - 15
Citations - 514
Dexiang Wu is an academic researcher from Beihang University. The author has contributed to research in topics: Supply chain & Data envelopment analysis. The author has an hindex of 7, co-authored 13 publications receiving 472 citations. Previous affiliations of Dexiang Wu include Stockholm University & University of Toronto.
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Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach
TL;DR: A fuzzy multi-objective programming model to decide on supplier selection taking risk factors into consideration is proposed and results indicate when qualitative criteria are considered in supplier selection, the probability of a certain supplier being selected is affected.
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Supply chain DEA: production possibility set and performance evaluation model
TL;DR: Two types of supply chain production possibility sets are proved to be equivalent to each other and based upon the production possibility set, a supply chain CRS DEA model is advanced to appraise the overall technical efficiency of supply chains.
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Supply chain outsourcing risk using an integrated stochastic-fuzzy optimization approach
TL;DR: A stochastic fuzzy multi-objective programming model is developed for supply chain outsourcing risk management in presence of both random uncertainty and fuzzy uncertainty and an algorithm is designed to solve the model.
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Olympics ranking and benchmarking based on cross efficiency evaluation method and cluster analysis: the case of Sydney 2000
TL;DR: In this paper, an extended tool of DEA, namely cross efficiency evaluation method, was used to measure the performance of the nations in the Summer Olympic Games of Sydney 2000, and the average cross efficiencies were calculated and were compared to those originated from the radial efficiency method and other previous works.
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Modelling undesirable outputs in eco-efficiency evaluation to paper mills along the Huai River based on Shannon DEA
TL;DR: The ecological Shannon DEA procedure is used to appraise the ecological evaluation to 32 paper mills along the Huai River in China and seems reasonable since they integrate the results of existing relevant DEA models, and calculate the importance degree of each model.