Abreu Urbano GD, S Lopes Paulo, S Baptista Antonio J. M. Dos, A Torres Robledo De and N Santos Heleno (2004). “Evaluation of Technology Introduction into a Beef Cattle Production.” in Emrouznejad A and V Podinovski (eds.) Proceedings of DEA2004, Birmingham, UK: 178.

Abreu Urbano GD, S Lopes Paulo, S Baptista Antonio J. M. Dos, A Torres Robledo De and N Santos Heleno (2004). “Evaluation of Technology Introduction into a Beef Cattle Production.” in Emrouznejad A and V Podinovski (eds.) Proceedings of DEA2004, Birmingham, UK: 178.

Adam JEE (1994). “Alternative Quality Improvement Practices and Organization Performance.” J Operations Management 12(1): 27-44.

Adam JEE (1994). “Alternative Quality Improvement Practices and Organization Performance.” J Operations Management 12(1): 27-44.

Adenso-Diaz B and B Lev (2002). “Reviews the Book “Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software,” By Emmanuel Thanassoulis.” Interfaces 32(5): 102-104.

Adenso-Diaz B and B Lev (2002). “Reviews the Book “Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software,” By Emmanuel Thanassoulis.” Interfaces 32(5): 102-104.

Adler N, L Friedman and Z Sinuany-Stern (2002). “Review of Ranking Methods in the Data Envelopment Analysis Context.” EJOR 140(2): 249-265.

Adler N, L Friedman and Z Sinuany-Stern (2002). “Review of Ranking Methods in the Data Envelopment Analysis Context.” EJOR 140(2): 249-265.

Adler N and B Golany (2001). “Evaluation of Deregulated Airline Networks Using Data Envelopment Analysis Combined with Principal Component Analysis with an Application to Western Europe.” EJOR 132(2): 260-273.

Adler N and B Golany (2001). “Evaluation of Deregulated Airline Networks Using Data Envelopment Analysis Combined with Principal Component Analysis with an Application to Western Europe.” EJOR 132(2): 260-273.

Adler N and B Golany (2002). “Including Principal Component Weights to Improve Discrimination in Data Envelopment Analysis.” JORS 53(9): 985-991.

Adler N and B Golany (2002). “Including Principal Component Weights to Improve Discrimination in Data Envelopment Analysis.” JORS 53(9): 985-991.

Adler N and B J. (2001). “Measuring Airport Quality from the Airlines Viewpoint: An Application of Data Envelopment Analysis.” Transport Policy 8(3): 171-181.

Adler N and B J. (2001). “Measuring Airport Quality from the Airlines Viewpoint: An Application of Data Envelopment Analysis.” Transport Policy 8(3): 171-181.

DEAzone’s blog

This is a bolg of the DEAzone.com. To post to this blog you need to register and login.

BCC

Introduced by Banker, Chames and Cooper (1984), this model measures technical efficiency as the convexity constraint ensures that the composite unit is of similar scale size as the unit being measured. The resulting efficiency is always at least equal to the one given by the CCR model, and those DMUs with the lowest input or highest output levels are rated efficient. Unlike the CCR model, the BCC model allows for variable returns to scale.

Ordinal variable

A factor which consists of a set of predefined values that are ranked in a specific order. An ordinal variable can be seen as a special case of a categorical variable. If the values of an ordinal factor need to be scaled, the inherent order must be preserved (Cook et al 1993). [Cook W, Kress M and Seil ord L (1993), ‘On the use of ordinal data in data envelopment analysis’, J. of the Opi. Res. Soc., 44, pp 133-140.]