Intellectualization of the Spare Parts Supplier Selection by the Analysis of Multi-criterial Solutions

  • Irina Makarova
  • Ksenia ShubenkovaEmail author
  • Polina Buyvol
  • Eduard Mukhametdinov
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 36)


The quality of automobiles efficiency maintaining is largely determined by the effectiveness of providing system of dealer and service centers with spare parts. It is necessary to analyze the characteristics of suppliers and the distribution of flow requests for spare parts, taking into account reliability factor of the supplier by the control center of the firm service system. The authors proposed a methodology for multi-criteria evaluation of the spare parts suppliers, which is determined not only by the reliability of compliance with the terms of supply and the organization of logistics processes, as well as the reliability and quality of the spare parts themselves. Also, in order to assess the probability of fulfillment of obligations by the new supplier, a methodology for forecasting such indicators characterizing the supplier’s reliability, as the delivery time, the spare part quality and the level of shortages, is described with usage of logistic regression.


Supplier Estimate Reliability Super-criterion 


  1. 1.
    Um, W.S.: Supplier evaluation and selection using AHP method and uncertainty theory. In: Proceedings of the 2nd World Congress on Mechanical, Chemical, and Material Engineering, 22–23 August 2016, Paper No. ICMIE 101, Budapest, Hungary (2016)Google Scholar
  2. 2.
    Senyigit, E., Soylemez, I., Atici, U.: Long-term supplier selection problem: a case study. In: 5th World Conference on Business, Economics and Management, 12–14 May 2016, Istanbul, Turkey, vol. 04, pp. 182–189 (2017)Google Scholar
  3. 3.
    Chai, J., Ngai, E.W.T.: Multi-perspective strategic supplier selection in uncertain environments. Int. J. Prod. Econ. 166, 215–225 (2015)CrossRefGoogle Scholar
  4. 4.
    Bruno, G., Esposito, E., Genovese, A., Simpson, M.: Applying supplier selection methodologies in a multi-stakeholder environment: a case study and a critical assessment. Expert Syst. Appl. 43, 271–285 (2016)CrossRefGoogle Scholar
  5. 5.
    Amit, K., Vipul, J., Sameer, K.: A comprehensive environment friendly approach for supplier selection. Omega 42(1), 109–123 (2014)CrossRefGoogle Scholar
  6. 6.
    Kumar, A., Jain, V., Kumar, S., Chandra, C.: Green supplier selection: a new genetic/immune strategy with industrial application. Enterp. Inf. Syst. 10(8), 911–943 (2016)CrossRefGoogle Scholar
  7. 7.
    Molaali, A., Tarokh, M.J.: A novel method for selecting the supplier based on association rule mining. J. Comput. Robot. 10(1), 39–52 (2017)Google Scholar
  8. 8.
    Ho, W., Dey, P.K., Bhattacharya, A.: Strategic supplier selection using multi-stakeholder and multi-perspective approaches. Int. J. Prod. Econ. 166, 152–154 (2015)CrossRefGoogle Scholar
  9. 9.
    Dey, P.K., Bhattacharya, A., Ho, W.: Strategic supplier performance evaluation: a case-based action research of a UK manufacturing organization. Int. J. Prod. Econ. 166, 192–214 (2015)CrossRefGoogle Scholar
  10. 10.
    Tavana, M., Yazdani, M., Caprio, D.: An application of an integrated ANP–QFD framework for sustainable supplier selection. Int. J. Logistics Res. Appl. 20(3), 254–275 (2017)CrossRefGoogle Scholar
  11. 11.
    Sarkis, J., Dhavale, D.J.: Supplier selection for sustainable operations: a triple-bottom-line approach using a Bayesian framework. Int. J. Prod. Econ. 166, 177–191 (2015)CrossRefGoogle Scholar
  12. 12.
    Haдeжнocть aвтoмoбиля и пyти ee пoвышeния. Accessed 11 April 2017. [In Russian: The vehicle reliability and the ways to improve it]
  13. 13.
    McKnight, T.L., Hess, D.: Physical Geography: A Landscape Appreciation. Prentice Hall, New Jersey (2010)Google Scholar
  14. 14.
  15. 15.
    Hosmer, D.W., Lemeshow Jr., S., Sturdivant, R.X.: Applied Logistic Regression. Wiley, New York (2013)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Irina Makarova
    • 1
  • Ksenia Shubenkova
    • 1
    Email author
  • Polina Buyvol
    • 1
  • Eduard Mukhametdinov
    • 1
  1. 1.Kazan Federal UniversityNaberezhnye ChelnyRussia

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