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  • 标题:Overall Efficiency and its Decomposition in a Two-Stage Network DEA Model
  • 本地全文:下载
  • 作者:Guo-Liang Yang ; Yao-Yao Song ; Dong-Ling Xu
  • 期刊名称:Journal of Management Science and Engineering
  • 印刷版ISSN:2096-2320
  • 出版年度:2017
  • 卷号:2
  • 期号:3
  • 页码:161-192
  • DOI:10.3724/SP.J.1383.203008
  • 语种:French
  • 出版社:Elsevier
  • 摘要:Abstract:This paper aims to propose a new approach to decompose an overall data envelopment analysis model into equivalent two-stage models. In this approach, we use a minimax reference point method to set the weights and reliabilities of the two stage models so that the combined efficiency of the two stages is equal to the overall efficiency. The equivalent multi-stage models are useful to support planning for performance improvement. An illustrative example is first explored to compare the results from the new approach with those of four other existing approaches. The main finding from the comparisons is that the new decomposition approach of this paper satisfies the proposed assumptions. A case study is then conducted on a two-stage process of steel manufacturing to illustrate the validity and applicability of the proposed approach.
  • 关键词:Two-stage network DEA;Overall efficiency;Decomposition;Evidential reasoning;Performance improvement
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