Green supplier selection based on IFS and GRA

Abstract

Purpose -Green supply chain management (GSCM) has become an important issue with increasing awareness of environmental protection. A firm's environmental approach is not only relevant to its inner efforts, but its suppliers' environmental performance is also important. The aim of this study is to propose an integrated multi-criteria decision-making (MCDM) approach based on intuitionistic fuzzy set (IFS) and grey relational analysis (GRA) for green supplier selection. Design/methodology/approach -Green supplier selection is a MCDM process that contains different kinds of uncertainties. Because of the vagueness and imprecision of decision makers' evaluations and subjectivity of the criteria, IFS and GRA are exploited to handle these uncertainties. Findings -A numerical example is presented for the proposed approach. The analyses of the results show that fuzzy set theory and grey theory can be used jointly for green supplier selection problems in uncertain environments. Originality/value -There are different kinds of uncertainties in the supplier selection process. The novelty of this study is to use proper uncertainty methods in different steps instead of denoting the whole selection process by the same uncertainty theory. Supplier selection problems occupy wide space in operations research literature. Different criteria are used in different papers. In this study, detailed literature review has been carried out and some criteria among frequently confronted ones proposed for green supplier selection.

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

“…The Green image (GI) criterion deals with establishing the supplier company's business image in the market place as a green supplier with the capability of manufacturing green products which provides a distinctive advantage in the market (Awasthi et al, 2010;Bali et al, 2013;Mafakheri et al, 2011;Tuzkaya, 2013). Green image includes market share, stakeholders' relationships, customer retention, market reputation and staff environmental training (Ghadimi et al, 2015).…”

“…Fuzzy-casebased reasoning (CBR) Green Bali et al (2013) Develop an approach to cope with situations with partially known and unknown information.…”

Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

“…When various papers on decision analysis were compared, it is found that several papers cross-referenced fuzzy set theory and rough set theory with artificial intelligence techniques [3,23]. Additionally, various papers discuss fuzzy set theory as an individual methodology in decision making [85][86][87], while the vast majority of papers integrates fuzzy approaches into multi-criteria decision making (MCDM) [88][89][90][91][92][93][94]. This paper examines fuzzy sets as one of the decision analysis tools, and divided these approaches into the sub-techniques depicted in Figure 14.…”

“…Olugu and Wong [96] defined fuzzy set theory as a knowledge and concept utilization process based on human reasoning. The literature presented a variety of fuzzy focused papers that introduced fuzzy logic as defining membership functions, incomplete preference relationships and linguistic preferences, applying fuzzy arithmetic, fuzzy entropy and fuzzy c-means clustering, utilizing intuitionistic fuzzy sets, fuzzy logic controllers, defining interpretive ranking processes, fuzzy inference systems, fuzzy rule-based systems, and fuzzy axiomatic design (Table A2) [94,[97][98][99][100].…”

A supplier selection using a hybrid grey based hierarchical clustering and artificial bee colony

“…Rezaei and Ortt (2012) developed a new approach to supplier segmentation, which considers the various variables used in existing literature to segment suppliers. Bali et al (2013) used intuitionistic fuzzy set (IFS) and grey relational analysis (GRA) for green supplier selection. There were eight criteria: service quality, green image, use of green materials, pollution/waste control in production, green product, distribution, reverse logistics and green design or R&D. Deng et al (2014) proposed a methodology for integrated product line design and supplier selection.…”