[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

A fuzzy extended analytic network process-based approach for global supplier selection

  • Published:
Applied Intelligence Aims and scope Submit manuscript

Abstract

With increasing globalization, supplier selection has become more and more important than before. In the process of determining the best supplier, the expert judgements might be vague or incomplete due to the inherent uncertainty and imprecision of their perception. In addition to that, the sub-criteria are relevant to each other in the selection of right supplier. In this paper, a novel methodology based on fuzzy set theory and analytic network process (FEANP) is developed to address both the uncertain information involved and the interrelationships among the attributes. This paper concludes with a case study describing the implementation of this model for a real-world supplier selection scenario. We demonstrate the efficiency of the proposed model by comparing with existing method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Boran FE, Genċ S, Kurt M, Akay DA (2009) multi-criteria intuitionistic fuzzy group decision making for supplier selection with topsis method. Expert Syst Appl 36(8):11,363–11,368

    Article  Google Scholar 

  2. Cattaneo ME (2011) Belief functions combination without the assumption of independence of the information sources. Int J Approx Reason 52(3):299–315

    Article  MATH  MathSciNet  Google Scholar 

  3. Chai J, Liu JN, Xu ZA (2012) new rule-based sir approach to supplier selection under intuitionistic fuzzy environments. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems 20(03):451–471

    Article  MATH  Google Scholar 

  4. Chamodrakas I, Martakos DA (2012) utility-based fuzzy topsis method for energy efficient network selection in heterogeneous wireless networks. Appl Soft Comput 12(7): 1929–1938

    Article  Google Scholar 

  5. Chan F, Kumar N (2007) Global supplier development considering risk factors using fuzzy extended ahp-based approach. Omega 35(4):417–431

    Article  Google Scholar 

  6. Chan F, Kumar N, Tiwari M, Lau H, Choy K (2008) Global supplier selection: a fuzzy-ahp approach. Int J Prod Res 46(14):3825–3857

    Article  MATH  Google Scholar 

  7. Chang D (1992) Extent analysis decision, synthetic. Optimization Techniques and Applications 1(5):352

    Google Scholar 

  8. Chen N, Xu Z, Xia M (2013) Interval-valued hesitant preference relations and their applications to group decision making. Knowl Based Syst 37:528–540

    Article  MathSciNet  Google Scholar 

  9. Chiou H, Tzeng G, Cheng D (2005) Evaluating sustainable fishing development strategies using fuzzy mcdm approach. Omega 33(3):223–234

    Article  Google Scholar 

  10. Chou S, Chang YA (2008) Decision support system for supplier selection based on a strategy-aligned fuzzy smart approach. Expert Syst Appl 34(4):2241–2253

    Article  MathSciNet  Google Scholar 

  11. Deng X, Hu Y, Deng Y, Mahadevan S (2014a) Environmental impact assessment based on d numbers. Expert Syst Appl 41(2):635–643

    Article  Google Scholar 

  12. Deng X, Hu Y, Deng Y, Mahadevan S (2014b) Supplier selection using ahp methodology extended by d numbers. Expert Syst Appl 41(1):156–167

    Article  Google Scholar 

  13. Deng Y, Chan F, Wu Y, Wang D A (2011) New linguistic mcdm method based on multiple-criterion data fusion. Expert Syst Appl 38(6):6985–6993

    Article  Google Scholar 

  14. Denœux T (2008) Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence. Artif Intell 172(2):234–264

    Article  MATH  Google Scholar 

  15. Gencer C, Gürpinar D (2007) Analytic network process in supplier selection: A case study in an electronic firm. Appl Math Model 31(11):2475–2486

    Article  MATH  Google Scholar 

  16. Hafeez K, Zhang Y, Malak N (2002) Determining key capabilities of a firm using analytic hierarchy process. Int J Prod Econ 76(1):39–51

    Article  Google Scholar 

  17. Handfield R, Walton SV, Sroufe R, Melnyk SA (2002) Applying environmental criteria to supplier assessment: A study in the application of the analytical hierarchy process. Eur J Oper Res 141(1):70–87

    Article  MATH  Google Scholar 

  18. Hu Z, Du X, Kolekar NS, Banerjee A (2014) Robust design with imprecise random variables and its application in hydrokinetic turbine optimization. Eng Optim 46(3):393–419

    Article  Google Scholar 

  19. Kang B, Deng Y, Sadiq R, Mahadevan S (2012) Evidential cognitive maps. Knowl Based Syst 35:77–86

    Article  Google Scholar 

  20. Kang H, Lee A (2010) Inventory replenishment model using fuzzy multiple objective programming: A case study of a high-tech company in taiwan. Appl Soft Comput 10(4):1108–1118

    Article  MathSciNet  Google Scholar 

  21. Keramati A, Salehi M (2012) Website success comparison in the context of e-recruitment: An analytic network process (anp) approach. Appl Soft Comput 13(1):173–180

    Article  Google Scholar 

  22. Krohling RA, de Souza T (2012) Combining prospect theory and fuzzy numbers to multi-criteria decision making. Expert Systems with Applications 39(13):11, 487–11, 493

  23. Kuo M, Liang G (2011) Combining vikor with gra techniques to evaluate service quality of airports under fuzzy environment. Expert Syst Appl 38(3):1304–1312

    Article  Google Scholar 

  24. Kuo M, Liang G (2012) A soft computing method of performance evaluation with mcdm based on interval-valued fuzzy numbers. Appl Soft Comput 12(1):476–485

    Article  Google Scholar 

  25. Kuo MS (2011) A novel interval-valued fuzzy mcdm method for improving airlines?? service quality in chinese cross-strait airlines. Transportation Research Part E. Logistics and Transportation Review 47(6):1177–1193

    Article  Google Scholar 

  26. Kuo R, Lin Y (2012) Supplier selection using analytic network process and data envelopment analysis. Int J Prod Res 50(11):2852–2863

    Article  Google Scholar 

  27. Larrodé E, Moreno-Jiménez J, Muerza M (2012) An ahp-multicriteria suitability evaluation of technological diversification in the automotive industry. Int J Prod Res 50(17):4889–4907

    Article  Google Scholar 

  28. Levy JK, Hall J (2005) Advances in flood risk management under uncertainty. Stoch Env Res Risk A 19(6):375–377

    Article  MATH  Google Scholar 

  29. Li D (2010) Linear programming method for madm with interval-valued intuitionistic fuzzy sets. Expert Syst Appl 37(8):5939–5945

    Article  Google Scholar 

  30. Li D, Wang Y, Liu S (2009) Shan F Fractional programming methodology for multi-attribute group decision-making using ifs. Appl Soft Comput 9(1):219–225

    Article  Google Scholar 

  31. Miodragović R, Tanasijević M, Mileusnić Z, Jovanċić P (2012) Effectiveness assessment of agricultural machinery based on fuzzy sets theory. Expert Syst Appl 39(10): 8940–8946

    Article  Google Scholar 

  32. Pang J, Liang J (2012) Evaluation of the results of multi-attribute group decision-making with linguistic information. Omega 40(3):294–301

    Article  Google Scholar 

  33. Pei Z, Zheng L (2012) A novel approach to multi-attribute decision making based on intuitionistic fuzzy sets. Expert Syst Appl 39(3):2560–2566

    Article  Google Scholar 

  34. Saaty T (1990) How to make a decision: the analytic hierarchy process. European Journal of Operational Research 48 (1):9–26

    Article  MATH  Google Scholar 

  35. Saaty TL (1980) The analytic hierarchy process: Planning, priority setting, resources allocation. McGraw-Hill International Book Co. (New York and London), London, McGraw-Hill

  36. Saaty TL (1996) Decision making with dependence and feedback: The analytic network process

  37. Sandeep M, Kumanan S, Vinodh S (2011) Supplier selection using combined ahp and gra for a pump manufacturing industry. International Journal of Logistics Systems and Management 10 (1):40–52

    Article  Google Scholar 

  38. Shyur HJ (2006) Cots evaluation using modified topsis and anp. Appl Math Comput 177(1):251–259

    Article  MathSciNet  Google Scholar 

  39. Su X, Mahadevan S, Xu P, Deng Y (2014) Handling of dependence in dempster–shafer theory

  40. Tseng M (2011) Green supply chain management with linguistic preferences and incomplete information. Appl Soft Comput 11(8):4894–4903

    Article  Google Scholar 

  41. Ustun O et al (2008) An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection. Omega 36(4):509–521

    Article  Google Scholar 

  42. Wei D, Deng X, Zhang X, Deng Y, Mahadevan S (2013) Identifying influential nodes in weighted networks based on evidence theory. Physica A. Statistical Mechanics and its Applications 392(10):2564–2575

    Article  Google Scholar 

  43. Wei G (2010) Gra method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting. Knowl Based Syst 23(3):243–247

    Article  Google Scholar 

  44. Wu C, Barnes D, Rosenberg D, Luo X (2009) An analytic network process-mixed integer multi-objective programming model for partner selection in agile supply chains. Prod Plan Control 20(3):254–275

    Article  Google Scholar 

  45. Yang JL, Chiu HN, Tzeng GH, Yeh RH (2008) Vendor selection by integrated fuzzy mcdm techniques with independent and interdependent relationships. Inf Sci 178(21):4166–4183

    Article  MATH  Google Scholar 

  46. Zadeh L (1965a) Fuzzy sets. Inf Control 8(3):338–353

    Article  MATH  MathSciNet  Google Scholar 

  47. Zadeh LA (1965b) Fuzzy sets. Inf Control 8(3):338–353

    Article  MATH  MathSciNet  Google Scholar 

  48. Zarghami M, Szidarovszky F (2009) Revising the owa operator for multi criteria decision making problems under uncertainty. Eur J Oper Res 198(1):259–265

    Article  MATH  MathSciNet  Google Scholar 

  49. Deng Y (2015) Generalized evidence theory. Appl Intell. doi:10.1007/s10489-015-0661-2

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Yong Deng or Sankaran Mahadevan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, X., Deng, Y., Chan, F.T.S. et al. A fuzzy extended analytic network process-based approach for global supplier selection. Appl Intell 43, 760–772 (2015). https://doi.org/10.1007/s10489-015-0664-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10489-015-0664-z

Keywords

Navigation