• ISSN: 2010-023X (Print)
    • Abbreviated Title: Int. J. Trade, Economics and Financ.
    • Frequency: Quaterly
    • DOI: 10.18178/IJTEF
    • Editor-in-Chief: Prof.Tung-Zong (Donald) Chang
    • Managing Editor: Ms. Shira. W. Lu
    • Abstracting/ Indexing:  Crossref, Electronic Journals Library , EBSCO
    • E-mail: ijtef.editorial.office@gmail.com
HOME > Archive > 2016 > Volume 7 Number 3 (Jun. 2016) >
IJTEF 2016 Vol.7(3): 62-66 ISSN: 2010-023X
DOI: 10.18178/ijtef.2016.7.3.500

Research on Reliability of Supply Chain Using Fuzzy Theory

Tian Lan and Feng Julie Shen

Abstract—A supply chain is a set of organizations directly linked by one or more upstream and downstream flows of products, services, finances, or information from a source to a customer. As the global economic mode transitioned from vertical integration to horizontal integration, several manufacturing companies selected the most outstanding enterprises worldwide to integrate. In order to benefit all of the enterprises that join a supply chain, it is very important to improve the supply chain (SC) to deal with potential crises that may occur and to stimulate the economics. Therefore, the reliability of a supply chain becomes significant. Since the SC is susceptible to a barrage of factors, which are of bound uncertainty and difficult quantification, in this paper, a mathematic assessment model was constructed to evaluate the reliability of SC using fuzzy comprehensive evaluation method and the laws of fuzzy sets. The evaluation experiment showed that the fuzzy assessment method is feasible.

Index Terms—Fuzzy evaluation, supply chain, reliability prediction.

Tian Lan is with DongWu Business School of Soochow University, China (e-mail:1310408010@stu.suda.edu.cn).
Feng Julie Shen is with Georgia State University, Robinson College of Business, USA (e-mail:fshen2@emory.edu).

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Cite: Tian Lan and Feng Julie Shen, "Research on Reliability of Supply Chain Using Fuzzy Theory," International Journal of Trade, Economics and Finance vol.7, no.3, pp. 62-66, 2016.

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