A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information

By Gülçin Büyüközkan, Gizem Çifçi. Computers in industry (Print), 2011

501 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/6385cf8aa1d2cbf27efac9d7b142942d4f089381

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In Management Information Systems

In Management Science and Operations Research

In Strategy and Management

Citations in the corpus

Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process (2018, background): “As a result, supply chain management (SCM) has become a popular topic among researchers (Larsen and Rogers, 1998; Büyüközkan and Çifçi, 2011); others choose to observe the topic from a different perspective (Beske et al., 2014).”
A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context (2015, background): “Cost/price [36,47,3,10] Environmental costs [3] The interests and rights of employees [40,3] Quality [3,10,40,64,43] Green design [34,64,43] The rights of stakeholders [40,3] Technology capability [41,40,64,66,43] Environmental management system [34,41] Work safety and labor health [36]”
Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain (2012, background): “Buyukozkan and Cifci (2011) proposed fuzzy multi-criteria decision framework for sustainable supplier selection considering incomplete information.”
Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company (2014, background): “…criteria for selection of logistics service providers (1) Cost (2) Lead time (3) Reliability (4) Variety (5) Quality (6) Environment Case studies Büyüközkan and Çifçi (2011) Identify a model based on principles of sustainability to select suppliers for supply chains (1) Organization (2)…”