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DEA (Data Envelopment Analysis)
Toshiyuki Sueyoshi New Mexico Tech Dept. of Management
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Data Envelopment Analysis
(1) Relative Comparison (2) Multiple Inputs and Outputs (3) Efficiency Measurement (0%-100%) (4) Avoid the Specification Error between Inputs and Outputs (5) Production/Cost Analysis
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Case : 1 input – 1 output Table 1.1 : 1 input – 1 output Case
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Efficiency Frontier E G Output F C A H B D Employees Figure 1.1:Comparison of efficiencies in 1 input–1 output case
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Efficiency Frontier E G Output F C A Regression Line H B D Employees Figure 1.2 : Regression Line and Efficiency Frontier
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Table 1.2 : Efficiency 1 = C > G > A> B > E > D = F > H = 0.4
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Efficiency Frontier Output C D2 D1 D Employees Figure 1.3 : Improvement of Company D
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Case : 2 inputs – 1 output Table 1.3 : 2 inputs – 1 output Case
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Production Possibility Set
G C F Offices/Sales A I E D B Efficiency Frontier H Employees/Sales Figure 1.4 : 2 inputs – 1 output Case
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C A Offices/Sales A1 A2 B Employees/Sales Figure 1.5 : Improvement of Company A
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Case : 1 input – 2 outputs Table 1.4 : 1 input – 2 outputs Case
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A1 B C A Efficiency Frontier D F Offices/Sales Production Possibility Set E1 G E Customers/Offices Figure 1.6 : 1 input – 2 outputs Case
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Case : Multiple inputs – Multiple outputs
Table 1.5 : Example of Multiple inputs–Multiple outputs Case
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CCR model
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R : A Reference Set
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Primal Problem
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Dual Problem
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Slack
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Reference Set:
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Example Problem Table 1.6 : 2 inputs – 1 output Case
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Primal Problem
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Dual Problem
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Efficiency Frontier E D A A1 F C Figure 1.7 : Efficiency of DMU A
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Table 1.7 : Results of DEA
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Variable Returns to Scale
BCC model Variable Returns to Scale
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CCR model
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BCC model
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BCC model: Dual Problem
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Efficiency Frontier of CCR model
Efficiency Frontier of BCC model (B) d c Output b (C) a (A) Input Figure 2.1 : Efficiency Frontier and Production Possibility Set
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Cost Analysis
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Efficiency Frontier of CCR model
Efficiency Frontier of BCC model f g g E c b b h h i i e d j j k P
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Dual Problem
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