The Improved BCC RTS Method in Data Envelopment Analysis
When estimating RTS (returns to scale) using the BCC RTS method in DEA (data envelopment analysis), there exist multiple optimal solutions which lead to error RTS estimation. This paper introduces the improved BCC RTS method for this problem. Given the existence of an optimal solution with u0≠0 in the BCC multiplier model, the existence of an optimal solution with u0≠0 is the focus. A system of linear equality is constructed for the focus. And the corresponding 0-objective linear programming is also constructed to verify the feasibility of the system of linear equality. Therefore, RTS can be identified by the corresponding 0-objective linear programming and the obtained optimal solution in the BCC multiplier model.
DEA BCC RTS method 0-objective linear programming
Wei-Feng LIN Bao-cheng ZHANG
School of Management,Tianjin University,Tianjin 030072,Peoples Republic of China School of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,Peoples Republic
国际会议
厦门
英文
1613-1617
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）