Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2016, Article ID 8097386, 10 pages
http://dx.doi.org/10.1155/2016/8097386
Research Article

A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects

1Department of Industrial Management, National Taiwan University of Science and Technology, No. 43, Section 4, Keelung Road, Da’an District, Taipei 10607, Taiwan
2University of Economics and Business, Vietnam National University, 144 Xuan Thuy, Hanoi, Vietnam
3Department of Public Finance, Feng Chia University, Taichung, Taiwan

Received 22 October 2015; Revised 26 January 2016; Accepted 31 January 2016

Academic Editor: Young Hae Lee

Copyright © 2016 Hsiu Mei Wang Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y.-S. Chen and C.-H. Chang, “The determinants of green product development performance: Green dynamic capabilities, green transformational leadership, and green creativity,” Journal of Business Ethics, vol. 116, no. 1, pp. 107–119, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. A. H. I. Lee, H.-Y. Kang, C.-F. Hsu, and H.-C. Hung, “A green supplier selection model for high-tech industry,” Expert Systems with Applications, vol. 36, no. 4, pp. 7917–7927, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. K. Govindan, S. Rajendran, J. Sarkis, and P. Murugesan, “Multi criteria decision making approaches for green supplier evaluation and selection: a literature review,” Journal of Cleaner Production, vol. 98, pp. 66–83, 2015. View at Publisher · View at Google Scholar
  4. R. J. Kuo, Y. C. Wang, and F. C. Tien, “Integration of artificial neural network and MADA methods for green supplier selection,” Journal of Cleaner Production, vol. 18, no. 12, pp. 1161–1170, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. A. Gunasekaran and D. Gallear, “Special Issue on Sustainable development of manufacturing and services,” International Journal of Production Economics, vol. 140, no. 1, pp. 1–6, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. J. Sarkis, Q. Zhu, and K.-H. Lai, “An organizational theoretic review of green supply chain management literature,” International Journal of Production Economics, vol. 130, no. 1, pp. 1–15, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. A. Appolloni, H. Sun, F. Jia, and X. Li, “Green Procurement in the private sector: a state of the art review between 1996 and 2013,” Journal of Cleaner Production, vol. 85, pp. 122–133, 2014. View at Publisher · View at Google Scholar · View at Scopus
  8. H. C. Pimenta and P. D. Ball, “Analysis of environmental sustainability practices across upstream supply chain management,” Procedia CIRP, vol. 26, pp. 677–682, 2015. View at Publisher · View at Google Scholar
  9. C.-L. Hwang and K. Yoon, Multiple Attribute Decision Making—Methods and Applications: A State of the Art Survey, Springer, New York, NY, USA, 1981.
  10. H.-S. Shih, H.-J. Shyur, and E. S. Lee, “An extension of TOPSIS for group decision making,” Mathematical and Computer Modelling, vol. 45, no. 7-8, pp. 801–813, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. T. L. Saaty, The Analytical Hierarchy Process, McGraw-Hill, New York, NY, USA, 1980. View at MathSciNet
  12. G. Büyüközkan and G. Çifçi, “Evaluation of the green supply chain management practices: a fuzzy ANP approach,” Production Planning and Control, vol. 23, no. 6, pp. 405–418, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. C.-C. Sun, “A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods,” Expert Systems with Applications, vol. 37, no. 12, pp. 7745–7754, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. W. Xia and Z. Wu, “Supplier selection with multiple criteria in volume discount environments,” Omega, vol. 35, no. 5, pp. 494–504, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. I. Chamodrakas, D. Batis, and D. Martakos, “Supplier selection in electronic marketplaces using satisficing and fuzzy AHP,” Expert Systems with Applications, vol. 37, no. 1, pp. 490–498, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. 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, no. 9, pp. 8182–8192, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. O. Kilincci and S. A. Onal, “Fuzzy AHP approach for supplier selection in a washing machine company,” Expert Systems with Applications, vol. 38, no. 8, pp. 9656–9664, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. A. H. I. Lee, “A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks,” Expert Systems with Applications, vol. 36, no. 2, pp. 2879–2893, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. C. Bai and J. Sarkis, “Green supplier development: analytical evaluation using rough set theory,” Journal of Cleaner Production, vol. 18, no. 12, pp. 1200–1210, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. M. Abdollahi, M. Arvan, and J. Razmi, “An integrated approach for supplier portfolio selection: lean or agile?” Expert Systems with Applications, vol. 42, no. 1, pp. 679–690, 2015. View at Publisher · View at Google Scholar · View at Scopus
  21. M. S. Memon, Y. H. Lee, and S. I. Mari, “Group multi-criteria supplier selection using combined grey systems theory and uncertainty theory,” Expert Systems with Applications, vol. 42, no. 21, pp. 7951–7959, 2015. View at Publisher · View at Google Scholar
  22. S. H. Hashemi, A. Karimi, and M. Tavana, “An integrated green supplier selection approach with analytic network process and improved Grey relational analysis,” International Journal of Production Economics, vol. 159, pp. 178–191, 2015. View at Publisher · View at Google Scholar · View at Scopus
  23. M. Punniyamoorthy, P. Mathiyalagan, and P. Parthiban, “A strategic model using structural equation modeling and fuzzy logic in supplier selection,” Expert Systems with Applications, vol. 38, no. 1, pp. 458–474, 2011. View at Publisher · View at Google Scholar · View at Scopus
  24. R. M. Grisi, L. Guerra, and G. Naviglio, “Supplier performance evaluation for green supply chain management,” in Business Performance Measurement and Management, pp. 149–163, Springer, Berlin, Germany, 2010. View at Publisher · View at Google Scholar
  25. F. Mafakheri, M. Breton, and A. Ghoniem, “Supplier selection-order allocation: a two-stage multiple criteria dynamic programming approach,” International Journal of Production Economics, vol. 132, no. 1, pp. 52–57, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. Y.-J. Chen, “Structured methodology for supplier selection and evaluation in a supply chain,” Information Sciences, vol. 181, no. 9, pp. 1651–1670, 2011. View at Publisher · View at Google Scholar · View at Scopus
  27. W.-P. Wang, “A fuzzy linguistic computing approach to supplier evaluation,” Applied Mathematical Modelling, vol. 34, no. 10, pp. 3130–3141, 2010. View at Publisher · View at Google Scholar · View at Scopus
  28. M.-L. Tseng and A. S. F. Chiu, “Evaluating firm's green supply chain management in linguistic preferences,” Journal of Cleaner Production, vol. 40, pp. 22–31, 2013. View at Publisher · View at Google Scholar · View at Scopus
  29. Q. Zhu, Y. Dou, and J. Sarkis, “A portfolio-based analysis for green supplier management using the analytical network process,” Supply Chain Management, vol. 15, no. 4, pp. 306–319, 2010. View at Publisher · View at Google Scholar · View at Scopus
  30. G. A. Keskin, S. Ilhan, and C. Özkan, “The Fuzzy ART algorithm: a categorization method for supplier evaluation and selection,” Expert Systems with Applications, vol. 37, no. 2, pp. 1235–1240, 2010. View at Publisher · View at Google Scholar · View at Scopus
  31. C.-Y. Shen and K.-T. Yu, “Enhancing the efficacy of supplier selection decision-making on the initial stage of new product development: a hybrid fuzzy approach considering the strategic and operational factors simultaneously,” Expert Systems with Applications, vol. 36, no. 8, pp. 11271–11281, 2009. View at Publisher · View at Google Scholar · View at Scopus
  32. K. Govindan, R. Khodaverdi, and A. Jafarian, “A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach,” Journal of Cleaner Production, vol. 47, pp. 345–354, 2013. View at Publisher · View at Google Scholar · View at Scopus
  33. G. Tuzkaya, A. Ozgen, D. Ozgen, and U. R. Tuzkaya, “Environmental performance evaluation of suppliers: a hybrid fuzzy multi-criteria decision approach,” International Journal of Environmental Science & Technology, vol. 6, no. 3, pp. 477–490, 2009. View at Publisher · View at Google Scholar · View at Scopus
  34. Q. Zhu, J. Sarkis, and K.-H. Lai, “Initiatives and outcomes of green supply chain management implementation by Chinese manufacturers,” Journal of Environmental Management, vol. 85, no. 1, pp. 179–189, 2007. View at Publisher · View at Google Scholar · View at Scopus
  35. W.-C. Yeh and M.-C. Chuang, “Using multi-objective genetic algorithm for partner selection in green supply chain problems,” Expert Systems with Applications, vol. 38, no. 4, pp. 4244–4253, 2011. View at Publisher · View at Google Scholar · View at Scopus
  36. A. Awasthi, S. S. Chauhan, and S. K. Goyal, “A fuzzy multicriteria approach for evaluating environmental performance of suppliers,” International Journal of Production Economics, vol. 126, no. 2, pp. 370–378, 2010. View at Publisher · View at Google Scholar · View at Scopus
  37. J. Sarkis, “Manufacturing's role in corporate environmental sustainability-Concerns for the new millennium,” International Journal of Operations & Production Management, vol. 21, no. 5-6, pp. 666–686, 2001. View at Publisher · View at Google Scholar · View at Scopus
  38. S. M. Mirhedayatian, M. Azadi, and R. Farzipoor Saen, “A novel network data envelopment analysis model for evaluating green supply chain management,” International Journal of Production Economics, vol. 147, pp. 544–554, 2014. View at Publisher · View at Google Scholar · View at Scopus
  39. C. Wu and D. Barnes, “An integrated model for green partner selection and supply chain construction,” Journal of Cleaner Production, vol. 112, pp. 2114–2132, 2016. View at Publisher · View at Google Scholar
  40. G. Bruno, E. Esposito, A. Genovese, and R. Passaro, “AHP-based approaches for supplier evaluation: problems and perspectives,” Journal of Purchasing and Supply Management, vol. 18, no. 3, pp. 159–172, 2012. View at Publisher · View at Google Scholar · View at Scopus
  41. F. R. L. Junior, L. Osiro, and L. C. R. Carpinetti, “A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection,” Applied Soft Computing, vol. 21, pp. 194–209, 2014. View at Publisher · View at Google Scholar · View at Scopus
  42. A. Kawa and W. W. Koczkodaj, “Supplier evaluation process by pairwise comparisons,” Mathematical Problems in Engineering, vol. 2015, Article ID 976742, 9 pages, 2015. View at Publisher · View at Google Scholar · View at MathSciNet
  43. X. Deng, Y. Hu, Y. Deng, and S. Mahadevan, “Supplier selection using AHP methodology extended by D numbers,” Expert Systems with Applications, vol. 41, no. 1, pp. 156–167, 2014. View at Publisher · View at Google Scholar · View at Scopus
  44. N. Xie and J. Xin, “Interval grey numbers based multi-attribute decision making method for supplier selection,” Kybernetes, vol. 43, no. 7, pp. 1064–1078, 2014. View at Publisher · View at Google Scholar · View at MathSciNet
  45. J. Lee, H. Cho, and Y. S. Kim, “Assessing business impacts of agility criterion and order allocation strategy in multi-criteria supplier selection,” Expert Systems with Applications, vol. 42, no. 3, pp. 1136–1148, 2015. View at Publisher · View at Google Scholar · View at Scopus
  46. L. Shen, L. Olfat, K. Govindan, R. Khodaverdi, and A. Diabat, “A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences,” Resources, Conservation and Recycling, vol. 74, pp. 170–179, 2012. View at Publisher · View at Google Scholar · View at Scopus
  47. B. Kanga, Y. Hu, Y. Deng, and D. Zhou, “A new methodology of multicriteria decision-making in supplier selection based on Z-numbers,” Mathematical Problems in Engineering, vol. 2016, Article ID 8475987, 17 pages, 2016. View at Publisher · View at Google Scholar
  48. N. Asthana and M. Gupta, “Supplier selection using artificial neural network and genetic algorithm,” International Journal of Indian Culture and Business Management, vol. 11, no. 4, pp. 457–472, 2015. View at Publisher · View at Google Scholar
  49. D. Dubois and H. Prade, “Operations on fuzzy numbers,” International Journal of Systems Science, vol. 9, no. 6, pp. 613–626, 1978. View at Google Scholar · View at MathSciNet
  50. A. Kaufmann and M. M. Gupta, Introduction to Fuzzy Arithmetic: Theory and Applications, The Arden Shakespeare, 1991. View at MathSciNet
  51. L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning—I,” Information Sciences, vol. 8, no. 3, pp. 199–249, 1975. View at Publisher · View at Google Scholar
  52. L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning—II,” Information Sciences, vol. 8, no. 4, pp. 301–357, 1975. View at Google Scholar
  53. D.-Y. Chang, “Applications of the extent analysis method on fuzzy AHP,” European Journal of Operational Research, vol. 95, no. 3, pp. 649–655, 1996. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus