RFID Technology Applied in Medicine Distribution Center

2014 ◽  
Vol 651-653 ◽  
pp. 2040-2044
Author(s):  
Ci Nian Wang
Keyword(s):  
Information System ◽  
Radio Frequency Identification ◽  
General Structure ◽  
Distribution Center ◽  
Geographical Information ◽  
Routing Optimization ◽  
Global Positioning ◽  
Distribution Mode ◽  
Frequency Identification ◽  
Full Analysis

After a full analysis of the principle and general structure of Medicine Distribution Center (MDC), this paper researches the application of RFID (Radio Frequency Identification) in MDC. The MDC adopts the RFID as the support platform, covering the medicines’ entry, picking, checking, delivery and many other operation flows. The paper also constructs a new medicine-distribution mode and its information system model in accordance with GPS (global positioning system), GIS (geographical information system) and routing optimization technology. The MDC can collect, deliver, check, and update mass data on the medicines’ entry and delivery, the labor intensity being decreased. Fault scanning, miss scanning, re-scanning and other artificial errors have been avoided, and the efficiency and accuracy improved.

Expert System through GIS-Based Cloud

2017 ◽  
pp. 387-398 ◽  
Author(s):  
Prabu Sevugan ◽  
Swarnalatha Purushotham ◽  
Ajay Chandran
Keyword(s):  
Information System ◽  
Expert System ◽  
Geographical Information ◽  
System Innovation ◽  
Mass Storage ◽  
Geography Information System ◽  
Cloud Server ◽  
Global Positioning ◽  
System Data ◽  
Geography Information

Enthusiasm for accuracy farming practices and advances is becoming quickly all through the agrarian world. The accuracy farming can make utilization of the current methods, for example, GPS (Global Positioning System) innovation, GIS (Geographical Information System) innovation, RS (Remote Sensing) innovation and ES (Expert System) innovation et cetera, with a specific end goal to separate the agribusiness specialized measures among plots to acquire the better peripheral advantage of economy and environment. The study demonstrates to those generally accepted methods to utilize GIS (Geography Information System), Data mining and Web innovations in the rural master choice framework. This security with mass storage is satisfied by using GIS cloud server. This chapter discuss with an Integrated Geographic Information System with ES using Cloud Computing.

Research and Design on Integrating RFID System in Automotive Manufacture Based on Web Service

2014 ◽  
Vol 568-570 ◽  
pp. 1593-1596
Author(s):  
Hao Fei Xie ◽  
Chong Yang Li ◽  
Guo Qi Zhang ◽  
De Long Su
Keyword(s):  
Information System ◽  
Web Service ◽  
Radio Frequency Identification ◽  
Manufacturing Execution System ◽  
Time Data ◽  
Enterprise Information System ◽  
Enterprise Information ◽  
Bar Code ◽  
Rfid System ◽  
Frequency Identification

In order to remedy the deficiency of application of bar code that needs artificial intervention in automotive manufacture, we propose a solution to integrate Radio Frequency Identification (RFID) system in the original enterprise information system based on Web service. Distributed real-time data of welding, lacquer covering and assembly workshops in the automotive manufacture are collected, that are used in the enterprise information system to provide more productions information for management. Firstly, the architecture of integrating the RFID system and the Manufacturing Execution System (MES) in automotive manufacture is given, that is focused on the RFID system network, the Middleware and the Application Gateway. Finally, web service implementation is designed to integrate RFID system in enterprise information system.

A framework for indoor construction resources tracking by applying wireless sensor networks1This paper is one of a selection of papers in this Special Issue on Construction Engineering and Management.

2012 ◽  
Vol 39 (9) ◽  
pp. 1083-1088 ◽  
Author(s):  
Xuesong Shen ◽  
Ming Lu
Keyword(s):  
Radio Frequency Identification ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Received Signal Strength Indicator ◽  
Construction Engineering ◽  
Global Positioning ◽  
Frequency Identification ◽  
Selection Of

The state-of-the-art tracking technologies, such as the global positioning system (GPS) and the radio frequency identification (RFID), lend themselves well to applications in relatively open areas, while falling short of accuracy and reliability in indoor or partially covered application settings due to signal blockage, distortion or deterioration. This research aims to address this challenge in construction engineering by exploring a cost-effective positioning methodology to realize automated and continuous tracking of construction resources. The emerging ZigBee-based wireless sensor networks (WSN) technology is introduced. A framework of WSN application is proposed for indoor construction resources tracking, which consists of a group of stationary and mobile sensor nodes that can communicate with one another. Real-time locations of the mobile nodes can be determined by applying the localization method based on received signal strength indicator (RSSI) and geometric trilateration.

Intelligent Control Mining Management System in an Open Pit Based on GIS/GPS/GPRS/RFID

2011 ◽  
Vol 50-51 ◽  
pp. 663-668 ◽  
Author(s):  
Qing Hua Gu ◽  
Cai Wu Lu ◽  
Shi Gun Jing ◽  
Xin Ma
Keyword(s):  
Intelligent Control ◽  
Radio Frequency Identification ◽  
Management System ◽  
Programming Model ◽  
Open Pit ◽  
General Packet Radio Service ◽  
Global Positioning ◽  
Frequency Identification ◽  
Set Up ◽  
And Control

Using GIS(Geographic Information System), GPS(Global Positioning System), GPRS(General Packet Radio Service) and RFID(Radio Frequency Identification), an intelligent control mining management system in an open pit has been designed and developed. A linear programming model is set up in a practical application. By the model, the system can automatically draw up production plan of ore blending well every day. The system can monitor and dispatch open-pit trucks and shovels well, and can play back their historical paths. It can monitor and control the process of mining production in real time. By RFID, The system can also count the number of trucks’ delivery and shovels’ loading automatically. Experiments on real scenes show that the performance of this system is stable and can satisfy production standards of ore blending in open pits.

scholarly journals Blockchain-Based Ubiquitous Transport and Logistics Monitoring System

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 9
Author(s):  
Alexandra Rivero-García ◽  
Iván Santos-González ◽  
Cándido Caballero-Gil ◽  
Jezabel Molina-Gil ◽  
Candelaria Hernández-Goya ◽  
...  
Keyword(s):  
Global Positioning System ◽  
Radio Frequency Identification ◽  
Communication Technologies ◽  
Added Value ◽  
Whole Process ◽  
Global Positioning ◽  
Frequency Identification ◽  
Communications System ◽  
Ubiquitous Communications

Logistics and transport have become an increasingly important topic in recent years. In this kind of scenario, being able to offer added value to users means an important improvement in the services offered by the different companies. Different actors take part in the process of sending, transportation and collection of the different products through roads, ports and airports. During this process different aspects of security must be taken into account, since an error in one of them can cause major problems for public health, nature or even the economy of a country. With all this in mind, this work proposes a new system that allows us, through the use of wireless technologies such as Radio Frequency Identification, Global Positioning System, Wi-Fi Direct and mobile communication technologies, to automate the process of authentication and tracking of different products and goods. The proposed scheme allows through the use of the cloud the creation of a ubiquitous communications system for monitoring, control and even automation of repositioning orders automatically. In addition, the use of a system based on blockchain allows to carry out the whole process in an optimal way that guarantees the privacy and immutability of the data referring to the transports and merchandise. This work allows to reduce costs and improve the quality of the processes of sending, transport and reception of products for the different companies involved in the supply chain.

scholarly journals Inventory Tracking for Unstructured Environments via Probabilistic Reasoning

Logistics ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 16
Author(s):  
Mabaran Rajaraman ◽  
Kyle Bannerman ◽  
Kenji Shimada
Keyword(s):  
Global Positioning System ◽  
Radio Frequency Identification ◽  
Search Strategy ◽  
Probabilistic Reasoning ◽  
Information Collection ◽  
Multiple Stakeholders ◽  
Cluttered Environments ◽  
Global Positioning ◽  
Frequency Identification ◽  
Additional Constraints

Workpiece location is critical to efficiently plan actions downstream in manufacturing processes. In labor-intensive heavy industries, like construction and shipbuilding, multiple stakeholders interact, stack and move workpieces in the absence of any system to log such actions. While track-by-detection approaches rely on sensing technologies such as Radio Frequency Identification (RFID) and Global Positioning System (GPS), cluttered environments and stacks of workpieces pose several limitations to their adaptation. These challenges limit the usage of such technology to presenting the last known position of a workpiece with no further guidance on a search strategy. In this work we show that a multi-hypothesis tracking approach that models human reasoning can provide a search strategy based on available observations of a workpiece. We show that inventory tracking problems under uncertainty can be approached like probabilistic inference approaches in localization to detect, estimate and update the belief of the workpiece locations. We present a practical Internet-of-Things (IoT) framework for information collection over which we build our reasoning. We also present the ability of our system to accommodate additional constraints to prune search locations. Finally, in our experiments we show that our approach can provide a significant reduction against the conventional search for missing workpieces, of up to 80% in workpieces to visit and 60% in distance traveled. In our experiments we highlight the critical nature of identifying stacking events and inferring locations using reasoning to aid searches even when direct observation of a workpiece is not available.

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