Authors: Majid Azadi; Mostafa Jafarian; Seyed Mostafa Mirhedayatian; Reza Farzipoor Saen
Addresses: Department of Industrial Management, Faculty of Management and Accounting, Karaj Branch, Islamic Azad University, P.O. Box 31485-313, Karaj, Iran ' Young Researchers Club, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran ' Department of Business and Management Science, NHH Norwegian School of Economics, 5045 Bergen, Norway ' Department of Industrial Management, Faculty of Management and Accounting, Karaj Branch, Islamic Azad University, P.O. Box 31485-313, Karaj, Iran
Abstract: In spite of the fact that sustainability performance evaluation receives extensive attention from industrial enterprises, international organisations and researchers, some questions remain on how to evaluate sustainability. Hence, evaluation of corporate sustainability performance is a significant issue and has a strategic importance for every company. One of the techniques that can be used for measuring corporate sustainability performance is data envelopment analysis (DEA). In this paper, DEA is applied as a technique to deal with measuring corporate sustainability performance. Due to the ambiguity into the data of decision making problems, the DEA model should be formulated under fuzzy environment. Therefore, in this paper, a DEA model is developed in fuzzy framework measuring corporate sustainability performance. On the other hand, because of the complexity of the proposed model, fuzzy simulation is used along with genetic algorithm to solve the problem. A numerical example is presented to illustrate applicability of proposed model.
Keywords: data envelopment analysis; fuzzy DEA; genetic algorithms; corporate sustainability performance; fuzzy logic; sustainable development; performance evaluation; fuzzy simulation.
International Journal of Productivity and Quality Management, 2015 Vol.16 No.3, pp.312 - 324
Available online: 24 Aug 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article