Improving inventory effectiveness in RFID-enabled global supply chain with Grey forecasting model

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.

[1]  Can Saygin,et al.  Erratum: Adaptive inventory management using RFID data (International Journal of Advanced Manufacturing Technology) , 2007 .

[2]  Shu-Jen Wang,et al.  The simulated impact of RFID-enabled supply chain on pull-based inventory replenishment in TFT-LCD industry , 2008 .

[3]  Tzu-Li Tien.  A research on the prediction of machining accuracy by the deterministic grey dynamic model DGDM(1, 1, 1) , 2005, Appl. Math. Comput..

[4]  Bill C. Hardgrave,et al.  Does RFID Reduce Out of Stocks ? A Preliminary Analysis , 2005 .

[5]  Hsien-Che Lai,et al.  A variable P value rolling Grey forecasting model for Taiwan semiconductor industry production , 2005 .

[6]  Victor E. Sower,et al.  RFID utilization and information sharing: the impact on supply chain performance , 2010 .

[7]  Chao-Hung Wang,et al.  Using genetic algorithms grey theory to forecast high technology industrial output , 2008, Appl. Math. Comput..

[8]  Deng Ju-Long,et al.  Control problems of grey systems , 1982 .

[9]  Pedro M. Reyes,et al.  Empirical evidence of RFID impacts on supply chain performance , 2009 .

[10]  Scott E. Grasman,et al.  A Systems Approach to Viable RFID Implementation in the Supply Chain , 2007 .

[11]  Kun-Li Wen,et al.  The Study of GM (1,1|α) on the Verhulst Model , 2006 .

[12]  Bongju Jeong,et al.  Trends in supply chain design and management : technologies and methodologies , 2007 .

[13]  J. Grabara,et al.  The Bullwhip Effect In Supply Chain , 2009 .

[14]  C. Saygin,et al.  Adaptive inventory management using RFID data , 2007 .

[15]  Alp Ustundag,et al.  The impacts of Radio Frequency Identification (RFID) technology on supply chain costs , 2009 .

[16]  Mustafa Özbayrak,et al.  Systems dynamics modelling of a manufacturing supply chain system , 2007, Simul. Model. Pract. Theory.

[17]  Stéphane Dauzère-Pérès,et al.  A literature review on the impact of RFID technologies on supply chain management , 2010 .

[18]  D. Delen,et al.  RFID for Better Supply‐Chain Management through Enhanced Information Visibility , 2007 .

[19]  J. Winch,et al.  Supply Chain Management: Strategy, Planning, and Operation , 2003 .

[20]  Karen Ka-Leung Moon,et al.  RFID research: An academic literature review (1995–2005) and future research directions , 2008 .

[21]  Yahia Zare Mehrjerdi,et al.  RFID‐enabled supply chain systems with computer simulation , 2009 .

[22]  Feng Cheng,et al.  Exploring the impact of RFID on supply chain dynamics , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[23]  Kazim Sari,et al.  Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance , 2010, Eur. J. Oper. Res..

[24]  Wen-Yau Liang,et al.  Agent-based demand forecast in multi-echelon supply chain , 2006, Decis. Support Syst..

[25]  A. Borshchev,et al.  From System Dynamics and Discrete Event to Practical Agent Based Modeling : Reasons , Techniques , Tools , 2004 .

[26]  Shu Jen Wang,et al.  Incorporating ARIMA forecasting and service-level based replenishment in RFID-enabled supply chain , 2010 .

[27]  Jack P. C. Kleijnen,et al.  Supply chain simulation tools and techniques: a survey , 2005, Int. J. Simul. Process. Model..

[28]  Kevin H. Shang,et al.  Inspection and Replenishment Policies for Systems with Inventory Record Inaccuracy , 2007, Manuf. Serv. Oper. Manag..

[29]  Philip M. Kaminsky,et al.  Designing and managing the supply chain : concepts, strategies, and case studies , 2007 .

[30]  Katerina Pramatari,et al.  RFID-enabled Supply Chain Process Redesign using Simulation , 2010, IWRT.

[31]  Stéphane Dauzère-Pérès,et al.  A simulation approach to evaluate the impact of introducing RFID technologies in a three-level supply chain , 2008, 2008 Winter Simulation Conference.

[32]  S. Chopra,et al.  Supply Chain Management: Strategy, Planning & Operation , 2007 .

[33]  Shiro Masuda,et al.  A High Precision Prediction Model Using Hybrid Grey Dynamic Model. , 2008 .

[34]  D. Simchi-Levi.  Designing And Managing The Supply Chain , 2007 .

[35]  Li-Chang Hsu,et al.  Applying the Grey prediction model to the global integrated circuit industry , 2003 .