RFID and real time localization systems for warehouse management: A model for technical and economic evaluation

The networking technology in warehouse management can be automated cargo management, operations and real-time access to inventory. Application networking technology greatly reduces the workload of warehouse management and unnecessary losses. Through the intelligent management of the goods, but also improve the utilization of warehouse space, to enable enterprises to understand the real-time inventory, thereby reducing inventory costs, improve the accuracy of inventory management.

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Kalman filters for reducing error in RFID real-time localization systems

IEEE International Conference on Electro/Information Technology ◽

10.1109/eit.2014.6871785 ◽

2014 ◽

Cited By ~ 2

Author(s):

Benjamin Sanda ◽

Ikhlas Abdel-Qader ◽

Abiola Akanmu

Keyword(s):

Real Time ◽

Kalman Filters ◽

Localization Systems

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Economic Evaluation of Real Time N Management Technology in Direct Wet (Drum) Seeded Rice

Journal of Plant Sciences ◽

10.3923/jps.2007.570.574 ◽

2007 ◽

Vol 2 (5) ◽

pp. 570-574

Author(s):

Gunasekhar Nachimuthu ◽

V. Velu . ◽

L. Gurusamy . ◽

K.M. Sellamuthu .

Keyword(s):

Economic Evaluation ◽

Real Time ◽

Management Technology ◽

N Management

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Reducing Tracking Error in RFID Real-Time Localization Systems Using Kalman Filters

International Journal of Handheld Computing Research ◽

10.4018/ijhcr.2014070101 ◽

2014 ◽

Vol 5 (3) ◽

pp. 1-24

Author(s):

Benjamin Sanda ◽

Ikhlas Abdel-Qader ◽

Abiola Akanmu

Keyword(s):

Real Time ◽

Radio Frequency Identification ◽

Kalman Filters ◽

Tracking Error ◽

Time Of Arrival ◽

Indoor Environments ◽

Real World Data ◽

Localization Accuracy ◽

Accurate Localization ◽

Localization Systems

The use of Radio Frequency Identification (RFID) has become widespread in industry as a means to quickly and wirelessly identify and track packages and equipment. Now there is a commercial interest in using RFID to provide real-time localization. Efforts to use RFID technology in this way experience localization errors due to noise and multipath effects inherent to these environments. This paper presents the use of both linear Kalman filters and non-linear Unscented Kalman filters to reduce the error rate inherent to real-time RFID localization systems and provide more accurate localization results in indoor environments. A commercial RFID localization system designed for use by the construction industry is used in this work, and a filtering model based on 3rd order motion is developed. The filtering model is tested with real-world data and shown to provide an increase in localization accuracy when applied to both raw time of arrival measurements as well as final localization results.

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Framework for the usage of data from real-time indoor localization systems to derive inputs for manufacturing simulation

Procedia CIRP ◽

10.1016/j.procir.2019.03.216 ◽

2019 ◽

Vol 81 ◽

pp. 868-873 ◽

Cited By ~ 2

Author(s):

Carina Mieth ◽

Anne Meyer ◽

Michael Henke

Keyword(s):

Real Time ◽

Indoor Localization ◽

Manufacturing Simulation ◽

Localization Systems

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A Warehouse Management System for 3 Dimensional Tracking and Positioning

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.152-154.1685 ◽

2012 ◽

Vol 152-154 ◽

pp. 1685-1690 ◽

Cited By ~ 1

Author(s):

W.Y. Leong ◽

James Ee

Keyword(s):

Real Time ◽

Management System ◽

Three Dimensional ◽

Positioning System ◽

Location Tracking ◽

Warehouse Management ◽

3 Dimensional ◽

Steel Coils ◽

Real Time Tracking ◽

Warehouse Management System

A warehouse management system using the three-dimensional location tracking and positioning system based on time-of-flight principle is presented in this paper. Integrating three distance measurement sensors and computer programming to process the signals obtained from the sensors, the system can capture, store, and retrieve the three-dimensional position of steel coils located in a warehouse in real time. Updated information will also be stored in a database as a backup. Experiment shows that the system designed in this paper has the merits of real-time tracking of steel coils stored in a warehouse, or any uniformed storage locations.

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