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Supplier Evaluation and Selection Using a FDEA Model

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Performance Measurement with Fuzzy Data Envelopment Analysis

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 309))

Abstract

Due to the growth of global outsourcing, supplier evaluation and selection is one of the strategic decisions for purchasing management in the supply chain. In this chapter, we address the important attributes through the literature that constituent suppliers should possess in order to achieve the successful supply chain. These attributes (criteria) are obtained using an Affinity Diagram. Then, a committee of decision makers is formed to provide linguistic ratings to the candidate suppliers for the selected criteria. The linguistic ratings are then transformed into fuzzy numbers and fed into a fuzzy DEA (FDEA) model based on the α- cut approach assessment of candidate suppliers. A hypothetical application is provided to demonstrate the applicability and feasibility of the method.

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References

  1. Christopher, M.: The agile supply chain: competing in volatile markets. Ind. Mark. Manage. 29(1), 37–44 (2000)

    Article  MathSciNet  Google Scholar 

  2. Awasthi, A., Chauhan, S.S., Goyal, S.K.: A fuzzy multicriteria approach for evaluating environmental performance of suppliers. Int. J. Prod. Econ. 126(2), 370–378 (2010)

    Article  Google Scholar 

  3. Bottani, E., Rizzi, A.: An adapted multi-criteria approach to suppliers and products selection—An application oriented to lead-time reduction. Int. J. Prod. Econ. 111(2), 763–781 (2008)

    Article  Google Scholar 

  4. Chen, C.M.: A fuzzy-based decision-support model for rebuy procurement. Int. J. Prod. Econ. 122(2), 714–724 (2009)

    Article  Google Scholar 

  5. Woo, H.S., Saghiri, S.: Order assignment considering buyer, third-party logistics provider, and suppliers. Int. J. Prod. Econ. 130(2), 144–152 (2011)

    Article  Google Scholar 

  6. Amin, S.H., et al.: Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming. Expert Syst. Appl. 38(1), 334–342 (2011)

    Article  Google Scholar 

  7. Chen, C.T., Lin, C.T., Huang, S.F.: A fuzzy approach for supplier evaluation and selection in supply chain management. Int. J. Prod. Econ. 102(2), 289–301 (2006)

    Article  Google Scholar 

  8. Ordoobadi, S.M.: Development of a supplier selection model using fuzzy logic. Supply Chain Manage. Int. J. 14(4), 314–327 (2009)

    Article  Google Scholar 

  9. Guneri, A.F., Yucel, A., Ayyildiz, G.: An integrated fuzzy-lp approach for a supplier selection problem in supply chain management. Expert Syst. Appl. 36(5), 9223–9228 (2009)

    Article  Google Scholar 

  10. Yucel, A., Guneri, A.F.: A weighted additive fuzzy programming approach for multi-criteria supplier selection. Expert Syst. Appl. 38(5), 6281–6286 (2011)

    Article  Google Scholar 

  11. Talluri, S., Baker, R.C.: A multi-phase mathematical programming approach for effective supply chain design. Eur. J. Oper. Res. 141(3), 544–558 (2002)

    Article  MATH  Google Scholar 

  12. Talluri, S., Narasimhan, R.: A methodology for strategic sourcing. Eur. J. Oper. Res. 154(1), 236–250 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  13. Saen, R.F.: Using super-efficiency analysis for ranking suppliers in the presence of volume discount offers. Int. J. Phys. Distrib. Logistics Manage. 38(8), 637–651 (2008)

    Article  Google Scholar 

  14. Garfamy, R.M.: A data envelopment analysis approach based on total cost of ownership for supplier selection. J. Enterp. Inf. Manage. 19(6), 662–678 (2006)

    Google Scholar 

  15. Weber, C.A.: A data envelopment analysis approach to measuring vendor performance. Supply Chain Manage. Int. J. 1(1), 28–39 (1996)

    Article  Google Scholar 

  16. Liu, J., Ding, F.Y., Lall, V.: Using data envelopment analysis to compare suppliers for supplier selection and performance improvement. Supply Chain Manage. Int. J. 5(3), 143–150 (2000)

    Article  Google Scholar 

  17. Saen, R.F.: Suppliers selection in the presence of both cardinal and ordinal data. Eur. J. Oper. Res. 183(2), 741–747 (2007)

    Article  MATH  Google Scholar 

  18. Hatami-Marbini, A., Emrouznejad, A., Tavana, M.: A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making. Eur. J. Oper. Res. 214(3), 457–472 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  19. Awasthi, A., Chauhan, S.S.: A hybrid approach integrating Affinity Diagram, AHP and fuzzy TOPSIS for sustainable city logistics planning. Appl. Math. Model. 36(2), 573–584 (2012)

    Article  MATH  Google Scholar 

  20. Chou, S.-Y., Chang, Y.-H.: A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach. Expert Syst. Appl. 34(4), 2241–2253 (2008)

    Article  MathSciNet  Google Scholar 

  21. Carrera, D.A., Mayorga, R.V.: Supply chain management: a modular Fuzzy Inference System approach in supplier selection for new product development. J. Intell. Manuf. 19(1), 1–12 (2008)

    Article  Google Scholar 

  22. Yang, J.L., Chiu, H.N., Tzeng, G.H., Yeh, R.H.: Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Inf. Sci. 178(21), 4166–4183 (2008)

    Article  MATH  Google Scholar 

  23. Amid, A., Ghodsypour, S., O’Brien, C.: A weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply Chain. Int. J. Prod. Econ. 121(2), 323–332 (2009)

    Article  Google Scholar 

  24. Li, G.D., Yamaguchi, D., Nagai, M.: A grey-based rough decision-making approach to supplier selection. Int. J. Adv. Manuf. Technol. 36(9), 1032–1040 (2008)

    Article  Google Scholar 

  25. Boran, F.E., Kurt, M., Akay, D.: A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Syst. Appl. 36(8), 11363–11368 (2009)

    Article  Google Scholar 

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

    Google Scholar 

  27. Lin, R.H.: An integrated FANP-MOLP for supplier evaluation and order allocation. Appl. Math. Model. 33(6), 2730–2736 (2009)

    Article  MATH  Google Scholar 

  28. Chen, Y.J.: Structured methodology for supplier selection and evaluation in a supply chain. Inf. Sci. 181(9), 1651–1670 (2011)

    Article  Google Scholar 

  29. Önüt, S., Kara, S.S., Isik, E.: Long term supplier selection using a combined fuzzy MCDM approach: a case study for a telecommunication company. Expert Syst. Appl. 36(2), 3887–3895 (2009)

    Article  Google Scholar 

  30. Wang, T.Y., Yang, Y.H.: A fuzzy model for supplier selection in quantity discount environments. Expert Syst. Appl. 36(10), 12179–12187 (2009)

    Article  Google Scholar 

  31. Wang, J.W., Cheng, C.H., Huang, K.C.: Fuzzy hierarchical TOPSIS for supplier selection. Appl. Soft Comput. 9(1), 377–386 (2009)

    Article  MathSciNet  Google Scholar 

  32. Zhang, D., Zhang, J., Lai, K.K., Lu, Y.: An novel approach to supplier selection based on vague sets group decision. Expert Syst. Appl. 36(5), 9557–9563 (2009)

    Article  Google Scholar 

  33. Azadeh, A., Alem, S.M.: A flexible deterministic, stochastic and fuzzy data envelopment analysis approach for supply chain risk and vendor selection problem: simulation analysis. Expert Syst. Appl. 37(12), 7438–7448 (2010)

    Article  Google Scholar 

  34. Awasthi, A., et al.: A fuzzy multicriteria approach for evaluating environmental performance of suppliers. Int. J. Prod. Econ. 126(2), 370–378 (2010)

    Article  Google Scholar 

  35. AydIn Keskin, G., lhan, S., Özkan, C.: (2010) The fuzzy art algorithm: a categorization method for supplier evaluation and selection. Expert Syst. Appl. 37 (2):1235–1240

    Google Scholar 

  36. Díaz-Madroñero, M., Peidro, D., Mula, J., Ferriols, F.J.: (2010) Fuzzy multiobjective mathematical programming approaches for operational transport planning. Revista de métodos cuantitativos para la economía y la empresa (9):44

    Google Scholar 

  37. Buyukozkan, G., Çifçi, G.: A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information. Comput. Ind. 62(2), 164–174 (2011)

    Article  Google Scholar 

  38. Chamodrakas, I., Batis, D., Martakos, D.: Supplier selection in electronic marketplaces using satisficing and fuzzy AHP. Expert Syst. Appl. 37(1), 490–498 (2010)

    Article  Google Scholar 

  39. Jolai, F., et al.: Integrating fuzzy TOPSIS and multi-period goal programming for purchasing multiple products from multiple suppliers. J. Purchasing Supply Manage. 17(1), 42–53 (2011)

    Article  MathSciNet  Google Scholar 

  40. Ku, C.Y., Chang, C.T., Ho, H.P.: Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming. Qual. Quant. 44(4), 623–640 (2010)

    Article  Google Scholar 

  41. Tseng, M.L., Chiu, A.S.: Evaluating firm’s green supply chain management in linguistic preferences. J. Cleaner Prod. 40, 22–31 (2013)

    Article  Google Scholar 

  42. Kuo, R., Wang, Y., Tien, F.: Integration of artificial neural network and MADA methods for green supplier selection. J. Cleaner Prod. 18(12), 1161–1170 (2010)

    Article  Google Scholar 

  43. Sanayei, A., Farid Mousavi, S., Yazdankhah, A.: (2010) Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Syst. Appl. 37(1):24–30

    Google Scholar 

  44. Wang, W.P.: A fuzzy linguistic computing approach to supplier evaluation. Appl. Math. Model. 34(10), 3130–3141 (2010)

    Article  MATH  Google Scholar 

  45. Punniyamoorthy, M., et al.: A strategic model using structural equation modeling and fuzzy logic in supplier selection. Expert Syst. Appl. 38(1), 458–474 (2011)

    Article  Google Scholar 

  46. Zeydan, M., Çolpan, C., Çobanoglu, C.: A combined methodology for supplier selection and performance evaluation. Expert Syst. Appl. 38(3), 2741–2751 (2011)

    Article  Google Scholar 

  47. Amin, S.H., Zhang, Guoqing: An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach. Expert Syst. Appl. 39(8), 6782–6791 (2012)

    Article  Google Scholar 

  48. Amindoust, A., Ahmed, S., Saghafinia, A.: Supplier selection and performance evaluation of telecommunication company. Am. J. Eng. Appl. Sci. 5(1), 49–52 (2012)

    Article  Google Scholar 

  49. Baskaran, V., Nachiappan, S., Rahman, S.: Indian textile suppliers’ sustainability evaluation using the grey approach. Int. J. Prod. Econ. 135(2), 647–658 (2012)

    Article  Google Scholar 

  50. Büyüközkan, G., Çifçi, G.: A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Syst. Appl. 39(3), 3000–3011 (2012)

    Article  Google Scholar 

  51. Chen, Y.-H., Chao, R.-J.: Supplier selection using consistent fuzzy preference relations. Expert Syst. Appl. 39(3), 3233–3240 (2012)

    Article  Google Scholar 

  52. Ferreira, L., Borenstein, D.: A fuzzy-bayesian model for supplier selection. Expert Syst. Appl. 39(9), 7834–7844 (2012)

    Article  Google Scholar 

  53. Golmohammadi, D., Mellat-Parast, M.: Developing a grey-based decision-making model for supplier selection. Int. J. Prod. Econ. 137(2), 191–200 (2012)

    Article  Google Scholar 

  54. Shaw, K., et al.: Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Syst. Appl. 39(9), 8182–8192 (2012)

    Article  Google Scholar 

  55. Yu, M.-C., Goh, M., Lin, H.-C.: Fuzzy multi-objective vendor selection under lean procurement. Eur. J. Oper. Res. 219(2), 305–311 (2012)

    Article  MATH  Google Scholar 

  56. Zadeh, L.A.: Fuzzy sets*. Inf. Control 8(3), 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  57. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6), 429–444 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  58. Banker, R.D., Charnes, A., Cooper, W.W.: (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 1078–1092

    Google Scholar 

  59. Sengupta, J.K.: A fuzzy systems approach in data envelopment analysis. Comput. Math. Appl. 24(8), 259–266 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  60. Andersen, P., Petersen, N.C.: A procedure for ranking efficient units in data envelopment analysis. Manage. Sci. 39(10), 1261–1264 (1993)

    Article  MATH  Google Scholar 

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Authors and Affiliations

  1. Centre of Product Design and Manufacture (CPDM), University of Malaya, 50603, Kuala Lumpur, Malaysia

    Atefeh Amindoust

  2. Islamic Azad University Majlesi Branch, Electrical Engineering Department, Esfahan, Iran

    Ali Saghafinia

Authors
  1. Atefeh Amindoust
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  2. Ali Saghafinia
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Correspondence to Atefeh Amindoust .

Editor information

Editors and Affiliations

  1. Operations and Information Management Group, Aston Business School, Aston University, Birmingham, United Kingdom

    Ali Emrouznejad

  2. Business Systems and Analytics Department, La Salle University, Philadelphia, Pennsylvania, USA

    Madjid Tavana

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Amindoust, A., Saghafinia, A. (2014). Supplier Evaluation and Selection Using a FDEA Model. In: Emrouznejad, A., Tavana, M. (eds) Performance Measurement with Fuzzy Data Envelopment Analysis. Studies in Fuzziness and Soft Computing, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41372-8_13

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  • DOI: https://doi.org/10.1007/978-3-642-41372-8_13

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