• ISSN: 2301-3567
    • Frequency: Quarterly (2013-2014); Monthly (Since 2015)
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms Jessica C. Xiao
    • Abstracting/ Indexing: DOAJ, Engineering & Technology Library,  Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest.
    • E-mail: joebm@ejournal.net
JOEBM 2015 Vol.3(6): 571-575 ISSN: 2301-3567
DOI: 10.7763/JOEBM.2015.V3.248

An Intelligent Approach for Optimizing Supply Chain Operations

H. C. W. Lau, L. Zhao, and Dilupa Nakandala
Abstract—This paper aims to provide a model of supply chain management covering the principles of fuzzy logic for assessing performance of suppliers based on several pre-determined benchmarking metrics. Most important of all, it paves the way to extend this approach to tackle the issue of trans-shipment optimization where the stochastic nature of customer demand and supplier lead-time is taken into account.

Index Terms—Fuzzy logic, logistic management, trans-shipment cost.

The authors are with the School of Business, University of Western Sydney, Locked Bag 1797, Penrith, New South Wales 2751, Australia (e-mail: H.Lau@uws.edu.au, zhaoli.xjtu@gmail.com, D.Nakandala@uws.edu.au).

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Cite: H. C. W. Lau, L. Zhao, and Dilupa Nakandala, "An Intelligent Approach for Optimizing Supply Chain Operations," Journal of Economics, Business and Management vol. 3, no. 6, pp. 571-575, 2015.

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