TY - JOUR
T1 - An intelligent approach for optimizing supply chain operations
AU - Lau, H. C. W.
AU - Zhao, L.
AU - Nakandala, Dilupa
PY - 2015
Y1 - 2015
N2 - 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 mctrics. 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.
AB - 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 mctrics. 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.
UR - http://handle.uws.edu.au:8081/1959.7/554492
UR - http://www.joebm.com/papers/248-A00005.pdf
U2 - 10.7763/JOEBM.20 l5.V3.248
DO - 10.7763/JOEBM.20 l5.V3.248
M3 - Article
SN - 2301-3567
VL - 3
SP - 571
EP - 575
JO - Journal of Economics, Business and Management
JF - Journal of Economics, Business and Management
IS - 6
ER -