An approach for evaluating cleaner production performance in iron and steel enterprises involving competitive relationships. (20th January 2017)

• Record Type: Journal Article
• Authors: Gong, Bengang; Guo, Dandan; Zhang, Xiaoqi; Cheng, Jinshi
• Is Part Of: Journal of cleaner production. Volume 142:Part 2(2017)
• Page Start: 739
• Page End: 748
• Publication Date: 2017-01-20
• Subjects: Cleaner production -- Data envelopment analysis cross-efficiency -- Evidential reasoning approach -- Competitive relationships -- Big data; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2016.03.008
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: In recent years, many iron and steel enterprises (ISEs) have begun to implement cleaner production (CP) technologies in order to improve environmental performance and competitive advantage. We recognize that the evaluation of ISE CP performance is becoming more important than ever. It is for this reason that we propose an approach for evaluating such performance in this paper. Different from most of the traditional methods, our proposed approach directly involves the competitive relationship among ISEs in the context of the availability of big data today. On the basis of the evidential reasoning (ER) approach and the data envelopment analysis (DEA) cross-efficiency concept, we first construct a nonlinear programming model to portray the competitive relationship among ISEs, and obtain the optimal weight and the optimal utility value. Then, by applying the ER approach to the aggregate evaluation information, we obtain the ranking of the ISE CP performance. Finally, we use a numerical example to illustrate the detailed implementation process of the proposed approach and demonstrate its potential applications.