A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context

By M. Azadi, M. Jafarian, Reza Farzipoor Saen, Seyed Mostafa Mirhedayatian. Computers & Operations Research, 2015

380 citations recorded by the source corpus.

Sustainable supply chain management (SSCM) has received much consideration from corporate and academic over the past decade. Sustainable supplier performance evaluation and selection plays a significant role in establishing an effective SSCM. One of the techniques that can be used for sustainable supplier performance evaluation and selection is data envelopment analysis (DEA). In real world problems, the inputs and outputs might be imprecise. This paper develops an integrated DEA enhanced Russell measure (ERM) model in fuzzy context to select the best sustainable suppliers. A case study is presented to exhibit the efficacy of the proposed method for sustainable supplier selection problem in a resin production company. The case study demonstrates that the proposed model can measure effectiveness, efficiency, and productivity in uncertain environment with different α levels. Also, it shows that the proposed model aids decision makers to deal with economic, social, and environmental factors when selecting sustainable suppliers. For the first time, an integrated non-radial DEA model is developed.For the first time, a new efficiency measure called fuzzy productivity value is developed to measure sustainable supplier performance.A possibility approach is applied to convert the unsolvable fuzzy proposed model to the solvable linear model.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/29c2e2ed774b56082494ef016301ee2c81430d48

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Citations in the corpus

A supply chain sustainability innovation framework and evaluation methodology (2018, methodology): “…have focused on sustainable supply chain management (Bai and Sarkis 2010; Amindoust et al. 2012; Govindan, Khodaverdi, and Jafarian 2013; Azadi et al. 2015; Sarkis and Dhavale 2015; Economic (EC) Sustainable product cost reduction (EC1) Organisations ability to reduce product cost…”
Indicators in Social Life Cycle Assessment: A Review of Frameworks, Theories, and Empirical Experience (2017, background): “The most frequently addressed subsector is chemical manufacturing (Azadi et al. 2015; Colodel et al. 2009; Kumar et al. 2014; Martinez-Blanco et al. 2014; Seuring et al. 2003; Taplin et al. 2006).”
Opportunities and challenges in sustainable supply chain: An operations research perspective (2017, background): “Only six papers exclusively focused tactical aspects (Alharbi et al., 2015; Amorim et al., 2013; Azadi et al., 2014; Battini et al., 2014; Bortolini et al., 2016; Hoen et al., 2014).”