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.