Abstract
Data Envelopment Analysis is used to determine the relative efficiency of Decision Making Units as the ratio of weighted sum of outputs by weighted sum of inputs. To accomplish the purpose, a DEA model calculates the weights of inputs and outputs of each DMU individually so that the highest efficiency can be estimated. Thus, the present study suggests an innovative method using a common set of weights leading to solving a linear programming problem. The method determines the efficiency score of all DMUs and rank them too.
Similar content being viewed by others
References
Amin GR, Toloo M (2007) Finding the most efficient DMUs in DEA: an improved integrated model. Comput Ind Eng 52: 71–77
Charnes A, Cooper WW (1962) programming with linear fractional functionals. Naval Res Logist Q 9: 181–186
Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6): 429–444
Charnes A, Cooper WW, Lewin AY, Seiford LM (1994) Data envelopment analysis: theory, methodology, and applications. Kluwer, Boston
Cook WD, Zhu J (2007) Within-group common weights in DEA: an analysis of power plant efficiency. Eur J Oper Res 178: 207–216
Despotis DK (2002) Improving the discriminating power of DEA: focus on globally efficient units. J Oper Res Soc 53: 314–323
Franklin Liu F-H, Hsuan Peng H (2008) Ranking of units on the DEA frontier with common weights. Comput Oper Res 35(5): 1624–1637
Hosseinzadeh Lotfi F, Jahanshahloo GR, Memariani A (2000) Method for finding common set of weights by multiple objective programming in data envelopment analysis. Southwest J Pure Appl Math 1: 44–54
Jahanshahloo GR, Memariani A, Hosseinzadeh Lotfi F, Rezai HZ (2005) A note on some of DEA models and finding efficiency and complete ranking using common set of weights. Appl Math Comput 166: 265–281
Jahanshahloo GR, Hosseinzadeh Lotfi F, Khanmohammadi M, Kazemimanesh M, Rezai V (2010) Ranking of units by positive ideal DMU with common weights. Exp Syst Appl 37: 7483–7488
Murty KG (1983) Linear programming. Wiley, New York
Obata T, Ishii H (2003) A method for discriminating efficient candidates with ranked voting data. Eur J Oper Res 151: 233–237
Roll Y, Golany B (1993) Alternate methods of treating factor weights in DEA. Omega 21(1): 99–109
Romero C (1991) Handbook of critical issues in goal programming. Pergamon Press, Oxford
Thompson RG, Langemeier LN, Lee CT, Lee E, Thrall RM (1990) The role of multiplier bounds in efficiency analysis with application to Kansas farming. J Econometr 46: 93–108
Wang YM, Chin KS (2010) Kwai-Sang Chin A neutral DEA model for cross-efficiency evaluation and its extension. Exp Syst Appl 37: 3666–3675
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Davoodi, A., Rezai, H.Z. Common set of weights in data envelopment analysis: a linear programming problem. Cent Eur J Oper Res 20, 355–365 (2012). https://doi.org/10.1007/s10100-011-0195-6
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10100-011-0195-6