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Supply chain DEA: Production possibility set and performance evaluation model

  • Feng Yang
  • , Dexiang Wu
  • , Liang Liang
  • , Gongbing Bi
  • , Desheng Dash Wu
  • University of Science and Technology of China
  • Reykjavík University
  • University of Toronto

科研成果: 期刊稿件文章同行评审

摘要

Performance evaluation is of great importance for effective supply chain management. The foundation of efficiency evaluation is to faithfully identify the corresponding production possibility set. Although a lot of researches have been done on supply chain DEA models, the exact definition for supply chain production possibility set is still in absence. This paper defines two types of supply chain production possibility sets, which are proved to be equivalent to each other. Based upon the production possibility set, a supply chain CRS DEA model is advanced to appraise the overall technical efficiency of supply chains. The major advantage of the model lies on the fact that it can help to find out the most efficient production abilities in supply chains, by replacing or improving inefficient subsystems (supply chain members). The proposed model also directly identifies the benchmarking units for inefficient supply chains to improve their performance. A real case validates the reasonableness and acceptability of this approach.

源语言英语
页(从-至)195-211
页数17
期刊Annals of Operations Research
185
1
DOI
出版状态已出版 - 5月 2011
已对外发布

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