Skip to main content

Performance Evaluation of Green Supply Chain Management Using the Grey DEMATEL–ARAS Model

  • Conference paper
  • First Online:
Operations Research and Optimization (FOTA 2016)

Abstract

Under stakeholder pressure and more strict regulations, firms need to enhance green supply chain management (GSCM) practice using multidimensional approaches. In view of these facts, a multi-criteria decision-making (MCDM) technique can be implemented while evaluating GSCM performance of alternative suppliers based on a set of criteria to deal with vagueness of human perceptions. The grey set theory is used to interpret the linguistic preference in accordance with the subjective evaluation. The cause–effect relationships among GSCM criteria, as well as their weights are considered using the grey DEMATEL approach. The grey ARAS method is also applied, using the weights obtained, for evaluating and ranking the GSCM performance of alternative suppliers. A sensitivity analysis conducted to ensure the reliability of solutions is described and the comparison of the applied technique with other MCDM methods such as grey TOPSIS and grey COPRAS is provided.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Antucheviciene, J., Zakarevicius, A., Zavadskas, E.: Measuring congruence of ranking results applying particular MCDM methods. INFORMATICA. 22(3), 319–338 (2011)

    MathSciNet  MATH  Google Scholar 

  2. Bai, C., Sarkis, J.: A grey-based DEMATEL model for evaluating business process management critical success factors. Int. J. Prod. Econ. 146, 281–292 (2013)

    Article  Google Scholar 

  3. Bykzkan, G., Cifci, 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 

  4. Chan, H., Wang, X.: An integrated fuzzy approach for aggregative supplier risk assessment. In: Fuzzy Hierarchical Model for Risk Assessment, pp. 45–69. Springer, London (2013)

    Google Scholar 

  5. Dalalah, D., Hayajneh, M., Batieha, F.: A fuzzy multi-criteria decision making model for supplier selection. Expert Syst. Appl. 38, 8384–8391 (2011)

    Article  Google Scholar 

  6. Deleris, L., Erhun, F.: Quantitative risk assessment in supply chains: a case study based on engineering risk analysis concepts. In: Planning Production and Inventories in the Extended Enterprise, pp. 105–131. Springer, New York (2011)

    Google Scholar 

  7. Govindan, K., Chaudhuri, A.: Interrelationships of risks faced by third party logistics service providers: a DEMATEL based approach. Trans. Res. Part E 90, 177–195 (2016)

    Google Scholar 

  8. Lee, A., Kang, H., Hsu, C., Hung, H.: A green supplier selection model for high-tech industry. Expert Syst. Appl. 36, 791727 (2009)

    Google Scholar 

  9. Li, G., Yamaguchi, D., Nagai, M.: A grey-based decision-making approach to the supplier selection problem. Math. Comput. Model. 46, 573–581 (2007)

    Article  Google Scholar 

  10. Liou, J., Tamosaitiene, J., Zavadskas, E., Tzeng, G.: New hybrid COPRAS-G MADM model for improving and selecting suppliers in green supply chain management. Int. J. Prod. Res. 54(1), 114–134 (2016)

    Google Scholar 

  11. Lin, C., Chen, S., Tzeng, G.: Constructing a cognition map of alternative fuel vehicles using the DEMATEL method. J. Multi-Crit. Decis. Anal. 16, 5–19 (2009)

    Article  Google Scholar 

  12. Mangla, S., Kumar, P., Barua, M.: An integrated methodology of FTA and fuzzy AHP for risk assessment in green supply chain. Int. J. Oper. Res. (2015) (in press)

    Google Scholar 

  13. Mathiyazhagan, K., Ali, D., Abbas, A., Xu, L.: Application of analytical hierarchy process to evaluate pressures to implement green supply chain management. J. Clean. Prod. 107, 229–236 (2015)

    Google Scholar 

  14. Mathiyazhagan, K., Govindan, K., NoorulHaq, A., Geng, Y.: An ISM approach for barrier analysis in implementing green supply chain management. J. Clean. Prod. 47, 283–297 (2013)

    Article  Google Scholar 

  15. Perron, G.M.: Barriers to Environmental Performance Improvements in Canadian SMEs. Dalhousie University, Canada (2005)

    Google Scholar 

  16. Selviaridis, K., Spring, M., Profillidis, V., Botzoris, G.: Benefits, risks, selection criteria and success factors for third-party logistics services. Marit. Econ. Logist. 10(4), 380–392 (2008)

    Article  Google Scholar 

  17. Srivastava, S.: Green supply-chain management: a state-of-the-art literature review. Int. J. Manag. Rev. 9(1), 53–80 (2007)

    Article  Google Scholar 

  18. Turskis, Z., Zavadskas, E.: A novel method for multiple criteria analysis: grey additive ratio as sessment (ARAS-G) method. Informatica 21, 597–610 (2010)

    MathSciNet  Google Scholar 

  19. Wu, H., Chang, S.: A case study of using DEMATEL method to identify critical factors in green supply chain management. Appl. Math. Comput. 256, 394–403 (2015)

    MATH  Google Scholar 

  20. Yang, Z., Li, J.: Assessment of green supply chain risk based on circular economy. In: IEEE 17th International conference on industrial engineering and engineering management (IE&EM), pp. 1276–1280 (2010). https://doi.org/10.1109/ICIEEM.2010.5645996

  21. Zavadskas, E., Kaklauskas, A., Turskis, Z., Tamoaitien, J.: Selection of the effective dwelling house walls by applying attributes values determined at intervals. J. Civ. Eng. Manag. 14(2), 85–93 (2008)

    Article  Google Scholar 

  22. Zhang, W., Zhang, X., Fu, X., Liu, Y.: A grey analytic network process (ANP) model to identify storm tide risk. GSIS 582–587 (2009)

    Google Scholar 

  23. Zhu, Q., Sarkis, J., Lai, K.: Institutional-based antecedents and performance outcomes of internal and external green supply chain management practices. J. Purch. Supply Manag. 19, 106–117 (2013)

    Article  Google Scholar 

  24. Zolfani, S., Antucheviciene, J.: Team member selecting based on AHP and TOPSIS grey. Inz. Ekon.—Eng. Econ. 23(4), 425–434 (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kajal Chatterjee .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chatterjee, K., Zavadskas, E.K., Roy, J., Kar, S. (2018). Performance Evaluation of Green Supply Chain Management Using the Grey DEMATEL–ARAS Model. In: Kar, S., Maulik, U., Li, X. (eds) Operations Research and Optimization. FOTA 2016. Springer Proceedings in Mathematics & Statistics, vol 225. Springer, Singapore. https://doi.org/10.1007/978-981-10-7814-9_24

Download citation

Publish with us

Policies and ethics