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

  • Affiliations:
  • Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taiping City, Taichung County 411, Taiwan, ROC;Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taiping City, Taichung County 411, Taiwan, ROC;Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taiping City, Taichung County 411, Taiwan, ROC;Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taiping City, Taichung County 411, Taiwan, ROC

  • Venue:
  • The Journal of Strategic Information Systems
  • Year:
  • 2011

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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-SCI"G"M 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 SCI"G"M 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.