TY - JOUR
T1 - Assessing sustainability of suppliers
T2 - A novel stochastic-fuzzy DEA model
AU - Tavassoli, Mohammad
AU - Saen, Reza Farzipoor
AU - Zanjirani, Dariush Mohamadi
N1 - Publisher Copyright:
© 2019
PY - 2020/1
Y1 - 2020/1
N2 - Appropriate supplier selection due to its direct impact on profitability and maintaining the competitive status of an organization is one of the vital decisions for each company. Data envelopment analysis (DEA) is a proper tool for measuring the sustainability of suppliers. Classic DEA models suppose that inputs and outputs are deterministic; consequently, the relative efficiencies of suppliers are also deterministic. However, in real-life applications, all inputs and outputs are not deterministic. Some could be stochastic and/or fuzzy. This study consists of four types of supplier selection models in supply chains and provides a decision making scheme for selecting appropriate model for supplier selection under deterministic, stochastic and fuzzy conditions. The proposed stochastic-fuzzy DEA model (SFDEA) can be solved as crisp program for each α∈01 using α-cut method. This is the first study to a present a flexible approach for evaluating supplier's sustainability in supply chain management. A case study is presented for validating the proposed model.
AB - Appropriate supplier selection due to its direct impact on profitability and maintaining the competitive status of an organization is one of the vital decisions for each company. Data envelopment analysis (DEA) is a proper tool for measuring the sustainability of suppliers. Classic DEA models suppose that inputs and outputs are deterministic; consequently, the relative efficiencies of suppliers are also deterministic. However, in real-life applications, all inputs and outputs are not deterministic. Some could be stochastic and/or fuzzy. This study consists of four types of supplier selection models in supply chains and provides a decision making scheme for selecting appropriate model for supplier selection under deterministic, stochastic and fuzzy conditions. The proposed stochastic-fuzzy DEA model (SFDEA) can be solved as crisp program for each α∈01 using α-cut method. This is the first study to a present a flexible approach for evaluating supplier's sustainability in supply chain management. A case study is presented for validating the proposed model.
KW - Data envelopment analysis (DEA)
KW - Fuzz data envelopment analysis (FDEA)
KW - Stochastic data envelopment analysis (SDEA)
KW - Sustainable supplier selection (SSS)
UR - http://www.scopus.com/inward/record.url?scp=85075279795&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075279795&partnerID=8YFLogxK
U2 - 10.1016/j.spc.2019.11.001
DO - 10.1016/j.spc.2019.11.001
M3 - Article
AN - SCOPUS:85075279795
SN - 2352-5509
VL - 21
SP - 78
EP - 91
JO - Sustainable Production and Consumption
JF - Sustainable Production and Consumption
ER -