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Yıl 2016, , 130 - 135, 26.12.2016
https://doi.org/10.18201/ijisae.270080

Öz

Kaynakça

  • [1] G. H. Brundtland, M. Khalid, “Our common future,” A/42/427, Report of World Commission on Environment and Development (WCED), 1987.
  • [2] 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.
  • [3] 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.
  • [4] 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.
  • [5] 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.
  • [6] 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.
  • [7] 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.
  • [8] 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.
  • [9] 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.
  • [10] P. Ghadimi, and C. Heavey, “Sustainable supplier selection in medical device industry: Toward sustainable manufacturing,” Procedia CIRP, vol. 15, pp. 165–170, 2014.
  • [11] 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.
  • [12] 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.
  • [13] 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.
  • [14] 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.
  • [15] J. Elkington, Cannibals with forks – The triple bottom line of 21st century business. Oxford: Capstone Publishing Ltd, 1997.
  • [16] 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,
  • [17] 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.
  • [18] A. Gabus, and E. Fontela, “World Problems an Invitation to Further Thought within the Framework of DEMATEL,” Battelle Geneva Research Centre, Switzerland, 1972.
  • [20] 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.
  • [21] 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.
  • [22] 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.
  • [23] 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.
  • [24] 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.
  • [25] Z. Başkaya, Bulanık Doğrusal Programlama, Bursa: Ekin Basım Yayın Dağıtım; 2011.
  • [26] J. L. Verdegay, “Fuzzy mathematical programming,” Fuzzy information and decision processes, pp. 231: 237, 1982.
  • [27] C. R. Bector, and S. Chandra, Fuzzy mathematical programming and fuzzy matrix games. New York: Springer-Verlag, 2005.

An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment

Yıl 2016, , 130 - 135, 26.12.2016
https://doi.org/10.18201/ijisae.270080

Öz



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.

Kaynakça

  • [1] G. H. Brundtland, M. Khalid, “Our common future,” A/42/427, Report of World Commission on Environment and Development (WCED), 1987.
  • [2] 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.
  • [3] 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.
  • [4] 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.
  • [5] 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.
  • [6] 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.
  • [7] 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.
  • [8] 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.
  • [9] 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.
  • [10] P. Ghadimi, and C. Heavey, “Sustainable supplier selection in medical device industry: Toward sustainable manufacturing,” Procedia CIRP, vol. 15, pp. 165–170, 2014.
  • [11] 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.
  • [12] 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.
  • [13] 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.
  • [14] 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.
  • [15] J. Elkington, Cannibals with forks – The triple bottom line of 21st century business. Oxford: Capstone Publishing Ltd, 1997.
  • [16] 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,
  • [17] 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.
  • [18] A. Gabus, and E. Fontela, “World Problems an Invitation to Further Thought within the Framework of DEMATEL,” Battelle Geneva Research Centre, Switzerland, 1972.
  • [20] 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.
  • [21] 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.
  • [22] 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.
  • [23] 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.
  • [24] 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.
  • [25] Z. Başkaya, Bulanık Doğrusal Programlama, Bursa: Ekin Basım Yayın Dağıtım; 2011.
  • [26] J. L. Verdegay, “Fuzzy mathematical programming,” Fuzzy information and decision processes, pp. 231: 237, 1982.
  • [27] C. R. Bector, and S. Chandra, Fuzzy mathematical programming and fuzzy matrix games. New York: Springer-Verlag, 2005.
Toplam 26 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Research Article
Yazarlar

Ahmet Alp Şenocak

Hacer Güner Gören

Yayımlanma Tarihi 26 Aralık 2016
Yayımlandığı Sayı Yıl 2016

Kaynak Göster

APA Şenocak, A. A., & Güner Gören, H. (2016). An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment. International Journal of Intelligent Systems and Applications in Engineering, 4(Special Issue-1), 130-135. https://doi.org/10.18201/ijisae.270080
AMA Şenocak AA, Güner Gören H. An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment. International Journal of Intelligent Systems and Applications in Engineering. Aralık 2016;4(Special Issue-1):130-135. doi:10.18201/ijisae.270080
Chicago Şenocak, Ahmet Alp, ve Hacer Güner Gören. “An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment”. International Journal of Intelligent Systems and Applications in Engineering 4, sy. Special Issue-1 (Aralık 2016): 130-35. https://doi.org/10.18201/ijisae.270080.
EndNote Şenocak AA, Güner Gören H (01 Aralık 2016) An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment. International Journal of Intelligent Systems and Applications in Engineering 4 Special Issue-1 130–135.
IEEE A. A. Şenocak ve H. Güner Gören, “An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment”, International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, ss. 130–135, 2016, doi: 10.18201/ijisae.270080.
ISNAD Şenocak, Ahmet Alp - Güner Gören, Hacer. “An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment”. International Journal of Intelligent Systems and Applications in Engineering 4/Special Issue-1 (Aralık 2016), 130-135. https://doi.org/10.18201/ijisae.270080.
JAMA Şenocak AA, Güner Gören H. An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment. International Journal of Intelligent Systems and Applications in Engineering. 2016;4:130–135.
MLA Şenocak, Ahmet Alp ve Hacer Güner Gören. “An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment”. International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, 2016, ss. 130-5, doi:10.18201/ijisae.270080.
Vancouver Şenocak AA, Güner Gören H. An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment. International Journal of Intelligent Systems and Applications in Engineering. 2016;4(Special Issue-1):130-5.