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Improving inventory effectiveness in RFID-enabled global supply chain with Grey forecasting model
Authors:S.-J. Wang  W.-L. Wang  C.-T. Huang  S.-C. Chen
Affiliation:Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taiping City, Taichung County 411, Taiwan, ROC
Abstract:A RFID-enabled global TFT–LCD supply chain associated with Grey forecasting model (GM) of Company A has been simulated and analyzed in this research. Three key performance indicates (KPI) including total inventory cost, inventory turnover and bullwhip effect are analyzed in the simulation experiments in order to compare the effectiveness of five different supply chain inventory models. The effectiveness of integrated system which is composed of supply chain operation, Grey short-term forecasting model and RFID system has been examined by aforementioned three KPIs. According to the result of Taguchi experiments, RFID-enabled R-SCIGM supply chain model which integrates the GM(1,1) forecasting model based on (s, Q) pull-based replenishment policy reduces 43.36% of the total inventory cost compared with that of the non-RFID SCIGM model. It apparently shows that a great improving effectiveness of supply chain inventory cost can be conducted while RFID system is incorporated with the GM(1,1) forecasting model.
Keywords:RFID   Global supply chain   Grey forecasting   Simulation   Multi-agents
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