Data envelopment analysis with two distinct objectives of inputs or outputs

Dong Shang Chang, Fu Chiang Yang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

When data envelopment analysis (DEA) methodology is applied to benchmark selection, the outputs are frequently considered as derived from two distinct objectives. If the outputs (or inputs) derived from two distinct objectives are directly mixed together for executing DEA, decision making units (DMUs) with low outputs (or high inputs) of either objective may be identified as benchmark DMUs. Specifically, performance of benchmark DMUs may be dominated by that of the corresponding inefficient DMUs under either objective. Emulating such benchmarks to improve performance is problematic. Without involving value judgments or a prior information, this study develops a novel method, which we call Two-Objective DEA (TODEA), to identify the most appropriate benchmark DMUs whose performance is not dominated by the corresponding inefficient DMUs under either objective. To clarify the benefits of the developed method, the TODEA method is compared with a recently proposed benchmarking method, Two-Model DEA approach, via a numerical example.

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主出版物標題WMSCI 2010 - The 14th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
頁面217-222
頁數6
出版狀態已出版 - 2010
事件14th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2010 - Orlando, FL, United States
持續時間: 29 6月 20102 7月 2010

出版系列

名字WMSCI 2010 - The 14th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
2

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???event.eventtypes.event.conference???14th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2010
國家/地區United States
城市Orlando, FL
期間29/06/102/07/10

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