Title :
Real time location system in support of bayesian network
Author :
Kim, Yun Bae ; Park, Jinsoo ; Kee, Seho ; Song, Kiburm ; Han, Mi Ae
Author_Institution :
Sungkyunkwan Univ., Suwon, South Korea
Abstract :
Location systems are used to track items along manufacturing process. However, the considerable cost from installation and maintenance of the location systems is an obstacle to install the location information system. This research presented a real time location system to overcome the high cost issue. The system is a combination of current location system and complementary mathematical model. The mathematical supporting model based on Bayesian network consists of modified depth first-search algorithm, probabilistic inference algorithm, and priority assigning algorithm. Verification of the system is executed through simulated manufacturing system.
Keywords :
belief networks; inference mechanisms; manufacturing systems; probability; production engineering computing; radiofrequency identification; tree searching; Bayesian network support; depth first-search algorithm; location information system; manufacturing system; priority assigning algorithm; probabilistic inference algorithm; realtime location system; Algorithm design and analysis; Bayesian methods; Inference algorithms; Mathematical model; Probabilistic logic; Radiofrequency identification; Real time systems;
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2010 Winter
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-9866-6
DOI :
10.1109/WSC.2010.5678875
