A Multi-criteria Decision-making Model for Evaluating Suppliers in Green SCM

Abstract

In order to develop recycle economy and friendly saving environment, many business enterprises have deployed green supply chain management (GSCM) practices. By employing related theorise of GSCM, organizations expect to minimize the environment impact caused by their commercial and industrial activities in supply chain. Different suppliers may provide different GSCM practices, so evaluating their GSCM performance to rank the green suppliers is an important aspect in practice. In this paper, a novel decision method named fuzzy generalized regret decision-making method is proposed. The fuzzy generalized regret decision-making method is based on ordered weighted averaging (OWA) operator, which is used to effectively aggregate individual regrets related to all stats of nature for an alternative under fuzzy decision-making environment. By combing the proposed method with the application background of GSCM practices, a novel fuzzy decision model for evaluating GSCM performance is further proposed. In the proposed model, the regret of decision maker is taken into consideration with an aim of minimizing the dissatisfaction when choosing the best green supplier. Individual regrets related to all criteria for a green supplier are aggregated to obtain effective regret. Finally, the green suppliers can be ranked according to the effective regrets. A numerical example is used to illustrate the effectiveness of the proposed method.

Green Supply Chain Management Implemented by Suppliers as Drivers for SMEs Environmental Growth with a Focus on the Restaurant Industry

“…GSCM is well-known to be the best way for businesses to eliminate or reduce air, water, and land pollution, and resources (energy, materials, and products) [17]. Supporting this, prior literature asserted that adopting GSCM is essential in order to reduce the negative effects of commercial and industrial activities on the environment [50], and ultimately contributes to ethical/social and competitive benefits for organizations [51]. Accordingly, GSCM practices have become an important business necessity to meet customer expectations and improve business performance [49,52].…”

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

“…Deng et al (2018) developed an algorithm with intuitionistic fuzzy numbers to evaluate the performance of alternative GSCM practices across all evaluation criteria in an uncertain environment. Jiang and Huang (2018) proposed an approach called the fuzzy generalized regret decision making method based on the ordered weighted averaging operator to evaluate GSCM performance. Osiro et al (2018) proposed a GDM model on the basis of the hesitant fuzzy linguistic term sets and the quality function deployment (QFD) method to select the metrics for SC sustainability management.…”

Performer selection in Human Reliability analysis: D numbers approach

“…The real application exists the uncertainty [22,57]. To address the Multiple criteria decision making problem (MCDM) issue [23], a new mathematical tool called D numbers [10] to represent uncertain information is proposed.…”