TY - JOUR
T1 - A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences
AU - Shen, Lixin
AU - Olfat, Laya
AU - Govindan, Kannan
AU - Khodaverdi, Roohollah
AU - Diabat, Ali
PY - 2013
Y1 - 2013
N2 - Today's international business environment has forced many firms to focus on supply chain management to gain a competitive advantage. During recent years, supplier selection process in the supply chain has become a key strategic consideration. With the growing worldwide awareness of environmental protection and the corresponding increase in legislation and regulations, green purchasing has become an important issue for companies to gain environmental sustainability. Traditionally, companies consider criteria such as price, quality and lead time, when evaluating supplier performance and do not give enough attention to environmental criteria as a means to evaluate suppliers. Now, many companies have begun to implement green supply chain management (GSCM) and to consider environmental issues and the measurement of their suppliers’ environmental performance. This paper examines GSCM to propose a fuzzy multi criteria approach for green suppliers’ evaluation. We apply fuzzy set theory to translate the subjective human perceptions into a solid crisp value. These linguistic preferences are combined through fuzzy TOPSIS to generate an overall performance score for each supplier. A numerical example is presented to demonstrate the effectiveness of the proposed approach.
AB - Today's international business environment has forced many firms to focus on supply chain management to gain a competitive advantage. During recent years, supplier selection process in the supply chain has become a key strategic consideration. With the growing worldwide awareness of environmental protection and the corresponding increase in legislation and regulations, green purchasing has become an important issue for companies to gain environmental sustainability. Traditionally, companies consider criteria such as price, quality and lead time, when evaluating supplier performance and do not give enough attention to environmental criteria as a means to evaluate suppliers. Now, many companies have begun to implement green supply chain management (GSCM) and to consider environmental issues and the measurement of their suppliers’ environmental performance. This paper examines GSCM to propose a fuzzy multi criteria approach for green suppliers’ evaluation. We apply fuzzy set theory to translate the subjective human perceptions into a solid crisp value. These linguistic preferences are combined through fuzzy TOPSIS to generate an overall performance score for each supplier. A numerical example is presented to demonstrate the effectiveness of the proposed approach.
KW - Environmental performance
KW - Fuzzy set theory
KW - Green supply chain management
KW - Supplier selection
KW - TOPSIS
UR - http://www.scopus.com/inward/record.url?scp=85028269863&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028269863&partnerID=8YFLogxK
U2 - 10.1016/j.resconrec.2012.09.006
DO - 10.1016/j.resconrec.2012.09.006
M3 - Article
AN - SCOPUS:85028269863
SN - 0921-3449
VL - 74
SP - 170
EP - 179
JO - Resources, Conservation and Recycling
JF - Resources, Conservation and Recycling
ER -