The BPI cluster meetings are taking place on the 5th Friday of the month, from 12:30 to 13:30.
Next meeting is on Friday, 30th October 12:30-13:30, Pav K16
Max van Rooijen will give presentation about evolving fuzzy system for printed circuit board (PCBA) demand forecasting.
Abstract. The author investigates the use of using an evolving fuzzy system for printed circuit board (PCBA) demand forecasting. The algorithm is based on the evolving Takagi–Sugeno (eTS) fuzzy system, which has the ability to incorporate new patterns by changing its internal structure in an on–line fashion. We argue that these capabilities could aid in forecasting dynamic demand patterns such as those experienced in the electronic manufacturing (EMS) industry. An eTS fuzzy system is implemented in the R statistical programming language and is tested on both synthetic and real–world data. To our knowledge, this is one of the first applications of an evolving fuzzy system to forecast product demand. The results indicate that the evolving fuzzy system outperforms competing approaches for the application considered.
Next BPI cluster meeting is on Friday 29th January.