An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment

  • Ahmet Alp ŞENOCAK
Keywords: Sustainable supplier selection, Fuzzy logic, DEMATEL, Grey relational analysis, Fuzzy linear programming


The term sustainability, which means maintaining a balance or acting responsibly for the future, has come into prominence in many fields. One of the most crucial practice is cooperating with convenient collaborators and composing effective supply chains in terms of social, economic and environmental considerations. Therefore, sustainable supplier selection is getting more and more important to compete in rapidly changing environment. To deal with sustainable supplier selection problem, this study aims to determine the selection of appropriate suppliers and allocation of orders to them. The proposed approach operates in three stages. In the first stage, Fuzzy Decision Making Trial and Evaluation Laboratory is used to obtain the weights of the criteria from sustainability perspective. In the second stage, by using Fuzzy Grey Relational Analysis, a set of suppliers are ranked and their suitability scores are calculated. In the last stage, optimal order quantities to be procured by the suppliers are obtained via fuzzy linear programming including imprecise data of demand, error rate and capacity.


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G. H. Brundtland, M. Khalid, “Our common future,” A/42/427, Report of World Commission on Environment and Development (WCED), 1987.

M. Brandenburg, K. Govindan, J. Sarkis, and S. Seuring, “Quantitative models for sustainable supply chain management: Developments and directions,” European Journal of Operational Research, vol. 233 (2), pp. 299–312, 2014.

K. Zimmer, M. Fröhling, and F. Schultmann, “Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development,” International Journal of Production Research, vol. 54 (5), pp. 1412-1442, 2015.

M. Azadi, M. Jafarian, S. R. Farzipoor, and S. M. Mirhedayatian, “A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context,” Computers & Operations Research, vol. 54, pp. 274–285, 2014.

S. Yousefi, H. Shabanpour, R. Fisher, and R. F. Saen, “Evaluating and ranking sustainable suppliers by robust dynamic data envelopment analysis,” Measurement, vol. 83, pp. 72–85, 2016.

A. C. Trapp and J. Sarkis, “Identifying robust portfolios of suppliers: A sustainability selection and development perspective,” Journal of Cleaner Production, vol. 112, pp. 2088-2100, 2016.

I. J. Orji, and S. Wei, “An innovative integration of fuzzy-logic and systems dynamics in sustainable supplier selection: A case on manufacturing industry,” Computers & Industrial Engineering, vol. 88, pp. 1–12, 2015.

C. M. Su, D. J. Horng, M. L. Tseng, A. S. F. Chiu, K. J. Wu, and H. P. Chen, “Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach,” Journal of Cleaner Production, vol. 134 (B), pp. 469-481, 2016.

A. Amindoust, S. Ahmed, A. Saghafinia, and A. Bahreininejad, “Sustainable supplier selection: A ranking model based on fuzzy inference system,” Applied Soft Computing Journal, vol. 12 (6), pp. 1668–1677, 2012.

P. Ghadimi, and C. Heavey, “Sustainable supplier selection in medical device industry: Toward sustainable manufacturing,” Procedia CIRP, vol. 15, pp. 165–170, 2014.

A. H. Azadnia, M. Z. M. Saman, K. Y. Wong, P. Ghadimi, and N. Zakuan, “Sustainable Supplier Selection based on Self-organizing Map Neural Network and Multi Criteria Decision Making Approaches,” Procedia - Social and Behavioral Sciences, vol. 65, pp. 879–884, 2012.

K. Shaw, R. Shankar, S. S. Yadav, and L. S. Thakur, “Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain,” Expert Systems with Applications, vol. 39 (9), pp. 8182–8192, 2012.

G. Büyüközkan, and G. Çifçi, “A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information,” Computers in Industry, vol. 62 (2), pp. 164–174, 2011.

C. Bai, and J. Sarkis, “Integrating sustainability into supplier selection with grey system and rough set methodologies,” International Journal of Production Economics, vol. 124 (1), pp. 252–264, 2010.

J. Elkington, Cannibals with forks – The triple bottom line of 21st century business. Oxford: Capstone Publishing Ltd, 1997.

H. Güner Gören, and O. Kulak, A new fuzzy multi-criteria decision making approach: extended hierarchical fuzzy axiomatic design approach with risk factors, F. Dargam, J. Hernandez, P. Zaraté, S. Liu, R. Ribeiro, and B. Delibasic, Ed., ser. Impact of Decision Support Systems for Global Environments, New York: Springer LNBIP,

D. Kannan, R. Khodaverdi, L. Olfat, A. Jafarian, and A. Diabat, “Integrated fuzzy multi criteria decision making method and multiobjective programming approach for supplier selection and order allocation in a green supply chain,” Journal of Cleaner Production, vol. 47, pp. 355–367, 2013.

A. Gabus, and E. Fontela, “World Problems an Invitation to Further Thought within the Framework of DEMATEL,” Battelle Geneva Research Centre, Switzerland, 1972.

A. Baykasoglu, V. Kaplanoglu, Z. Durmusoglu, and C. Sahin, “Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection,” Expert Systems with Applications, vol. 40, pp. 899–907, 2013.

S. Opricovic, and G. H. Tzeng, “Defuzzification within a Multicriteria Decision Model,” International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, vol. 11 (5), pp. 635 – 652, 2003.

M. S. Kuo, and G. S. Liang, “Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment,” Expert Systems with Applications, vol. 38, pp. 1304-1312, 2011.

O. Kulak and C. Kahraman, “Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process,” Information Sciences, vol. 170, pp. 191-210, 2005.

N. Banaeian, H. Mobli, B. Fahimnia, I. E. Nielsen, and M. Omid, “Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry,” Computers and Operations Research, in press.

Z. Başkaya, Bulanık Doğrusal Programlama, Bursa: Ekin Basım Yayın Dağıtım; 2011.

J. L. Verdegay, “Fuzzy mathematical programming,” Fuzzy information and decision processes, pp. 231: 237, 1982.

C. R. Bector, and S. Chandra, Fuzzy mathematical programming and fuzzy matrix games. New York: Springer-Verlag, 2005.

How to Cite
A. A. ŞENOCAK and H. G. GÖREN, “An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment”, IJISAE, pp. 130-135, Dec. 2016.
Research Article