REAL TIME LOCATION SYSTEM IN SUPPORT OF BAYESIAN NETWORK

被引：1

作者：

Kim, Yun Bae ^{[1
]}

Park, Jinsoo ^{[1
]}

Kee, Seho ^{[1
]}

Song, Kiburm ^{[1
]}

Han, Mi Ae ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Dept Syst Management Engn, Suwon, South Korea

来源：

PROCEEDINGS OF THE 2010 WINTER SIMULATION CONFERENCE | 2010年

关键词：

PROBABILISTIC INFERENCE;

D O I：

10.1109/WSC.2010.5678875

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：1957 / 1966

页数：10

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