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  • 标题:A note on “A new approach for the selection of advanced manufacturing technologies: Data envelopment analysis with double frontiers”
  • 本地全文:下载
  • 作者:Hossein Azizi
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2015
  • 卷号:11
  • 期号:2
  • 页码:259-265
  • DOI:10.18187/pjsor.v11i2.851
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:Recently, using the data envelopment analysis (DEA) with double frontiers approach, Wang and Chin (2009) proposed a new approach for the selection of advanced manufacturing technologies: DEA with double frontiers and a new measure for the selection of the best advanced manufacturing technologies (AMTs). In this note, we show that their proposed overall performance measure for the selection of the best AMT has an additional computational burden. Moreover, we propose a new measure for developing a complete ranking of AMTs. Numerical examples are examined using the proposed measure to show its simplicity and usefulness in the AMT selection and justification.
  • 其他摘要:Recently, using the data envelopment analysis (DEA) with double frontiers approach, Wang and Chin (2009) proposed a new approach for the selection of advanced manufacturing technologies: DEA with double frontiers and a new measure for the selection of the best advanced manufacturing technologies (AMTs). In this note, we show that their proposed overall performance measure for the selection of the best AMT has an additional computational burden. Moreover, we propose a new measure for developing a complete ranking of AMTs. Numerical examples are examined using the proposed measure to show its simplicity and usefulness in the AMT selection and justification.
  • 关键词:Data envelopment analysis;advanced manufacturing technology;optimistic and pessimistic efficiencies
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