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

fYear

2010

fDate

5-8 Dec. 2010

Firstpage

1957

Lastpage

1966

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference (WSC), Proceedings of the 2010 Winter

Conference_Location

Baltimore, MD

ISSN

0891-7736

Print_ISBN

978-1-4244-9866-6

Type

conf

DOI

10.1109/WSC.2010.5678875

Filename

5678875