Skip to main content
Log in

A Grey-based risk selection model using fuzzy information of a supply chain

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

A supply chain is easily exposed to risk by uncertainty and complexity and enterprises being difficult to cope with it because the risk involved is not clear in the aspect of time, intensity, duration, and etc. If the risk in a supply chain is probable or even possible, an enterprise should take action to prevent it according to the precautionary principle. If there is any risk, an enterprise should make a strategy to minimize the impact of the risk and act it. This paper proposes a Grey-based risk selection model to consider the many aspects of intensity and possibility of risk in a supply chain. The intensity and possibility of occurring risk are vague and cannot be expressed by exact numerical values. The Grey-based approach has the ability to measure, model, calculate and integrate uncertainty of a supply chain. The proposed model analyzes various risks to evaluate risk in a supply chain and priorities the seriousness of risk to control it.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

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

    Article  Google Scholar 

  2. Brito AJ, Almeida AT, Mota CMM (2010) A multi attribute model for risk sorting of natural gas pipelines based on ELECTRE TRI integrating utility theory. Eur J Oper Res 200(3):812–821

    Article  MATH  Google Scholar 

  3. Chen HP, Shen XJ, Long JW (2015) Histogram-based colour image fuzzy clustering algorithm. Multimed Tools Appl 27:1–16

    Google Scholar 

  4. Chianese A, Picariello A, Sansone L, Sapino ML (2004) Managing uncertainties in image databases: a fuzzy approach. Multimed Tools Appl 23(3):237–252

    Article  Google Scholar 

  5. Chithambaranathan P, Nachiappan S, Gunasekaran A, Palaniappan PK (2015) Service supply chain environmental performance evaluation using grey based hybrid MCDM approach. Int J Prod Econ 166:163–176

    Article  Google Scholar 

  6. Chopra S, Sodhi MS (2004) Managing risk to avoid supply-chain breakdown. MIT Sloan Manag Rev 46(1):53–61

    Google Scholar 

  7. Claypool E, Norman BA, Needy KL (2014) Modeling risk in a design for supply chain problem. Comput Ind Eng 78:44–54

    Article  Google Scholar 

  8. Deng JL (1989) Introduction to Grey system. J Grey Syst 1(1):1–24

    MathSciNet  MATH  Google Scholar 

  9. Deng JL (2002) Grey System Theory. Huazhong University of Science and Technology Press, Wuhan

    Google Scholar 

  10. Fahimnia B, Tang CS, Davarzani H, Sarkis J (2015) Quantitative models for managing supply chain risks: a review. Eur J Oper Res 247:1–15

    Article  MATH  Google Scholar 

  11. Heckmann I, Comes T, Nickel S (2015) A critical review on supply chain risk – definition, measure and modeling. Omega 52:119–132

    Article  Google Scholar 

  12. Hoffman H, Busse C, Bode C, Henke M (2014) Sustainability-related supply chain risks: conceptualization and management. Bus Strateg Environ 23(3):160–172

    Article  Google Scholar 

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

    Article  Google Scholar 

  14. Memon MS, Lee YH, Mari SI (2015) Group multi-attribute supplier selection using combined grey systems theory and uncertainty theory. Expert Syst Appl 42:7951–7959

    Article  Google Scholar 

  15. Svensson GA (2000) Conceptual frame work for the analysis of vulnerability in supply chains. Int J Phys Distrib Logist Manag 30(9):731–750

    Article  Google Scholar 

  16. Wu T, Blackhurst J (2009) Managing supply chain risk and vulnerability: tools and methods for supply chain decision makers. Springer, New York

    Book  Google Scholar 

  17. Yang CC, Chen BS (2006) Supplier selection using combined analytical hierarchy process and grey relational analysis. J Manuf Technol Manag 17(7):926–941

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to KyoungJong Park.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Park, K. A Grey-based risk selection model using fuzzy information of a supply chain. Multimed Tools Appl 76, 18083–18097 (2017). https://doi.org/10.1007/s11042-016-3740-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-016-3740-4

Keywords

Navigation