| Joro T, Korhonen P and Wallenius J (1995). Structural comparison of data envelopment analysis and multiple objective linear programming. Working Paper W-144, Helsinki School of Economics, Helsinki, Finland (17 pages). |
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Joro, T., P. Korhonen, and J. Wallenius (1995), "Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming", Management Science 44:7, 962-970.
....many are still unexplored. Some new interesting ongoing research topics which we would like to mention in conclusion are Multiple Objective Quadratic Linear Programming (Korhonen and Yu [1995] and a Structural Comparison of Data Envelopment Analysis (DEA) and Multiple Objective Linear Programming (Joro, Korhonen, and Wallenius [1995]) ....
Joro, T., Korhonen, P. and Wallenius, J. (1995). "Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming", Working Papers W-144, Helsinki School of Economics.
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Joro, T., Korhonen, P. and Wallenius, J. (1998): "Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming", Management Science 44, 962-970.
.... minimization and output maximization was introduced as early as 1985 (Charnes, Cooper, Golany, Seiford, and Stutz [1985] Other models considering simultaneous input minimization and output maximization exist (see, for example, Warwick DEA User Manual, Thanassoulis and Dyson [1992] Zhu [1996] Joro, Korhonen and Wallenius [1998] and Halme, Joro, Korhonen, Salo and Wallenius [1998] Combined CCR Primal (CCR P C) Combined BCC Primal (BCC P C) max F C = q e(1 T s 1 T s ) s.t. 2.2a) Yl qy 0 s = y 0 Xl qx 0 s = x 0 l, s , s 0 e 0 max F B = q e(1 T s 1 T s ....
....analogously to the efficient solutions in DEA. One possible, currently popular way to perform the search for solutions on the efficient frontier of a MOLP problem is to use the achievement (scalarizing) function (ASF) suggested by Wierzbicki [1980] This leads to the following formulations: (Joro et al. 1998]) Reference Point Model Primal (REF P ) Reference Point Model Dual (REF D ) max s e (1 T s 1 T s ) s.t. 2.4a) Yl sw y s = g y Xl sw x s = g x l L l, s , s 0 e 0 min n T g x g y x s.t. 2.4b) T Y n T X x1 T 0 ....
Joro, T., Korhonen, P. and Wallenius J. (1998), "Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming", Forthcoming in Management Science, July 1998.
....Table 1: Modifications of Model (2.1a) for Different (Primal) DEA Models. # Model Type w x g x w y g y L 1 Output Oriented CCR model (Charnes et al. 1978] 0 x 0 y 0 0 n 2 Input Oriented CCR model (Charnes et al. 1978] 2) x 0 0 0 y 0 n 3 Combined CCR model (Joro et al. 1998]) x 0 x 0 y 0 y 0 n 4 Output Oriented BCC model (Banker et al. 1984] 0 x 0 y 0 0 l l n and 1 T l = 1 5 Input Oriented BCC model (Banker et al. 1984] 2) x 0 0 0 y 0 l l n and 1 T l = 1 6 Combined BCC model (Joro et al. 1998] x 0 x ....
.... CCR model (Joro et al. 1998] x 0 x 0 y 0 y 0 n 4 Output Oriented BCC model (Banker et al. 1984] 0 x 0 y 0 0 l l n and 1 T l = 1 5 Input Oriented BCC model (Banker et al. 1984] 2) x 0 0 0 y 0 l l n and 1 T l = 1 6 Combined BCC model (Joro et al. 1998]) x 0 x 0 y 0 y 0 l l n and 1 T l = 1 7 General Combined model x 0 y 0 Each model 1 7 produces an efficient solution corresponding to the given g= g y g x . For simplicity, we assume that g T. Which efficient solution is obtained depends on the ....
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Joro, T., Korhonen, P. and Wallenius, J. (1998): "Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming", (Forthcoming in Management Science, July 1998).
....the changes of aspiration levels are easier to handle, because they can be implemented as changes in the rhs values in a linear programming formulation (see, 2.3a,b) 4 The reference point method is easy to implement. The minimization of the achievement scalarizing function is an LP problem. In Joro, Korhonen and Wallenius [1995], we have shown that the problem can be written in the following form: Reference Point Model Primal (REF P ) Reference Point Model Dual (REF D ) max Z =s e (1 T s 1 T s ) s.t. 2.3a) Yl s w y s = g y Xl s w x s = g x l L s , s 0 e 0 L = l l ....
.... CCR model (Charnes et al. 1978] 1) x 0 0 0 y 0 n 3 Output Oriented BCC model (Banker et al. 1984] 0 x 0 y 0 0 l l n and 1 T l = 1 4 Input Oriented BCC model (Banker et al. 1984] 1) x 0 0 0 y 0 l l n and 1 T l = 1 5 Combined CCR model (Joro et al. 1995]) x 0 x 0 y 0 y 0 n 6 Combined BCC model (Joro et al. 1995] x 0 x 0 y 0 y 0 l l n and 1 T l = 1 7 General Combined model x 0 y 0 2) We have now shown above that various CCR and BCC models (1 6) and further a general combined model (7) can be ....
[Article contains additional citation context not shown here]
Joro, T., Korhonen, P. and Wallenius, J. (1995): "Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming", (Forthcoming in Management Science), (Working Papers W-144, Helsinki School of Economics).
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Joro T, Korhonen P and Wallenius J (1995). Structural comparison of data envelopment analysis and multiple objective linear programming. Working Paper W-144, Helsinki School of Economics, Helsinki, Finland (17 pages).
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