Real time location system in support of bayesian network

Authors:
Yun Bae Kim;Jinsoo Park;Seho Kee;Kiburm Song;Mi Ae Han
Affiliations:
Sungkyunkwan University, Suwon, Korea;Sungkyunkwan University, Suwon, Korea;Sungkyunkwan University, Suwon, Korea;Sungkyunkwan University, Suwon, Korea;Sungkyunkwan University, Suwon, Korea
Venue:
Proceedings of the Winter Simulation Conference
Year:
2010

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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.