Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Springer Nature Link
Log in

Supplier selection for managing supply risks in supply chain: a fuzzy approach

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Supplier selection is one of the most important tasks for supply chain decision making, and there are many quantitative and qualitative factors that affect this process. This paper develops a simple and user-friendly supplier selection process for a supply chain which considers various selection criteria for managing supply risks. A rule-based fuzzy inference system (FIS) model is developed using the fuzzy logic toolbox in MATLAB R2012a to select the most excellent supplier by considering both quantitative and qualitative selection criteria. We identify a total of 18 selection criteria, of which four are quantitative and 14 qualitative. Risk factors are also incorporated in the model by developing fuzzy input and output criteria, and the best supplier is selected based on the aggregated supplier ranking index value. Finally, a numerical example presented to explain the usefulness of the developed model.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /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 excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Ahmed I, Sultana I, Paul SK, Azeem A (2013) Employee performance evaluation: a fuzzy approach. Int J Product Perform Manag 62(7):718–734

    Article  Google Scholar 

  2. Allen IE, Seaman CA (2007) Likert scales and data analyses. Qual Prog 40(7):64–65

    Google Scholar 

  3. Bayazit O, Karpak B, Yagci A (2006) A purchasing decision: selecting a supplier for a construction company. J Syst Sci Syst Eng 15(2):217–231

    Article  Google Scholar 

  4. Benyoucef M, Canbolat M (2007) Fuzzy AHP-based supplier selection in e-procurement. Int J Serv Oper Manag 3(2):172–192

    Google Scholar 

  5. Bevilacqua M, Ciarapica FE, Giacchetta G (2006) A fuzzy-QFD approach to supplier selection. J Purch Supply Manag 12(1):14–27

    Article  Google Scholar 

  6. Bhutta KS, Huq F (2002) Supplier selection problem: a comparison of the total cost of ownership and analytic hierarchy process approaches. Supply Chain Manag Int J 7(3):126–135

    Article  Google Scholar 

  7. Chan FT, Kumar N, Tiwari MK, Lau HCW, Choy KL (2008) Global supplier selection: a fuzzy-AHP approach. Int J Prod Res 46(14):3825–3857

    Article  MATH  Google Scholar 

  8. Frantti T, Mähönen P (2001) Fuzzy logic-based forecasting model. Eng Appl Artif Intell 14(2):189–201

    Article  Google Scholar 

  9. Ghodsypour SH, O’brien C (1998) A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. Int J Prod Econ 56:199–212

    Article  Google Scholar 

  10. Gottwald S (2005) Mathematical fuzzy logic as a tool for the treatment of vague information. Inf Sci 172(1):41–71

    Article  MathSciNet  MATH  Google Scholar 

  11. Kahraman C, Cebeci U, Ulukan Z (2003) Multi-criteria supplier selection using fuzzy AHP. Logist Inf Manag 16(6):382–394

    Article  Google Scholar 

  12. Kannan VR, Tan KC (2006) Buyer-supplier relationships: the impact of supplier selection and buyer-supplier engagement on relationship and firm performance. Int J Phys Distrib Logist Manag 36(10):755–775

    Article  Google Scholar 

  13. Lee AH (2009) A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Exp Syst Appl 36(2):2879–2893

    Article  Google Scholar 

  14. Liao CN, Kao HP (2010) Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming. Comput Ind Eng 58(4):571–577

    Article  Google Scholar 

  15. Looff LAD, De Loff LA (1997) Information systems outsourcing decision making: a managerial approach. IGI Publishing, Hershey

    Google Scholar 

  16. Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man Mach Stud 7(1):1–13

    Article  MATH  Google Scholar 

  17. Muralidharan C, Anantharaman N, Deshmukh SG (2002) A multi‐criteria group decisionmaking model for supplier rating. J Supply Chain Manag 38(3):22–33

    Article  Google Scholar 

  18. Paul SK (2013) Sustainable sequencing of N jobs on one machine: a fuzzy approach. Int J Serv Oper Manag 15(1):44–57

    Google Scholar 

  19. Paul SK, Azeem A (2010) Minimization of work in process inventory in hybrid flow shop scheduling using fuzzy logic. Int J Ind Eng Theory Appl Pract 17(2):115–127

    Google Scholar 

  20. Paul SK, Azeem A (2010) Selection of the optimal number of shifts in fuzzy environment: manufacturing company’s facility application. J Ind Eng Manag 3(1):54–67

    Google Scholar 

  21. Perfilieva I, Močkoř J (1999) Mathematical principles of fuzzy logic. The Springer International Series in Engineering and Computer Science, Springer

    MATH  Google Scholar 

  22. Spekman RE (1988) Strategic supplier selection: understanding long-term buyer relationships. Bus Horiz 31(4):75–81

    Article  Google Scholar 

  23. Sultana I, Ahmed I, Azeem A (2014) An integrated approach for multiple criteria supplier selection combining Fuzzy Delphi, Fuzzy AHP & Fuzzy TOPSIS. J Intell Fuzzy Syst. In press. doi: 10.3233/IFS-141216

  24. Tam MC, Tummala VM (2001) An application of the AHP in vendor selection of a telecommunications system. Omega 29(2):171–182

    Article  Google Scholar 

  25. Vonderembse MA, Tracey M (1999) The impact of supplier selection criteria and supplier involvement on manufacturing performance. J Supply Chain Manag 35(2):33–39

    Article  Google Scholar 

  26. Wang JW, Cheng CH, Huang KC (2009) Fuzzy hierarchical TOPSIS for supplier selection. Appl Soft Comput 9(1):377–386

    Article  MathSciNet  Google Scholar 

  27. Weber CA (1991) A decision support system using multicriteria techniques for vendor selection. University Microfilms International, Ann Arbor

    Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia

    Sanjoy Kumar Paul

  2. Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    Sanjoy Kumar Paul

Authors
  1. Sanjoy Kumar Paul
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sanjoy Kumar Paul.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Paul, S.K. Supplier selection for managing supply risks in supply chain: a fuzzy approach. Int J Adv Manuf Technol 79, 657–664 (2015). https://doi.org/10.1007/s00170-015-6867-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-6867-y

Keywords