scholarly journals A New RFID-Identification Strategy Applied to the Marble Extraction Industry

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 491
Author(s):  
Leonardo Andrade ◽  
João Figueiredo ◽  
Mouhaydine Tlemçani

This paper aims to improve the marble industry production chain by proposing new technological approaches using the Radio Frequency Identification (RFID) systems. The dynamic capabilities of the RFID read-write tags allow the storage of physical characteristics of stone blocks, according to electrical, ultrasound and three-dimensional image characterization tests. These characterization non-destructive tests allow the evaluation of important parameters of the original stone blocks, by analyzing the internal structure of the rocks. Then, these parameters can be stored in databases through RFID-tags, in order to optimize their subsequent cutting and transformation processes. RFID identification technology when integrated into an ethernet communication network enables automatic communication with cutting and processing equipment, building an intelligent industrial platform, integrating PCs (Personal Computers) and PLCs (Programmable Logic Controllers) within an Industry 4.0 environment. Another huge advantage of RFID technology is that it allows full product traceability, namely by enabling the end consumer to reverse the production path. A laboratory prototype was implemented and a detailed analysis and discussion of the obtained functionalities is shown at the end of this paper.

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 776
Author(s):  
Xiaohui Tao ◽  
Thanveer Basha Shaik ◽  
Niall Higgins ◽  
Raj Gururajan ◽  
Xujuan Zhou

Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and gain patient related information in clinics. RPM can be achieved with noninvasive digital technology without hindering a patient’s daily activities and can enhance the efficiency of healthcare delivery in acute clinical settings. In this study, an RPM system was built using radio frequency identification (RFID) technology for early detection of suicidal behaviour in a hospital-based mental health facility. A range of machine learning models such as Linear Regression, Decision Tree, Random Forest, and XGBoost were investigated to help determine the optimum fixed positions of RFID reader–antennas in a simulated hospital ward. Empirical experiments showed that Decision Tree had the best performance compared to Random Forest and XGBoost models. An Ensemble Learning model was also developed, took advantage of these machine learning models based on their individual performance. The research set a path to analyse dynamic moving RFID tags and builds an RPM system to help retrieve patient vital signs such as heart rate, pulse rate, respiration rate and subtle motions to make this research state-of-the-art in terms of managing acute suicidal and self-harm behaviour in a mental health ward.


2021 ◽  
Vol 13 (7) ◽  
pp. 3684
Author(s):  
Bibiana Bukova ◽  
Jiri Tengler ◽  
Eva Brumercikova

The paper focuses on the environmental burden created by Radio Frequency Identification (RFID) tags in the Slovak Republic (SR). In order to determine the burden there, a model example was created to calculate electronic waste produced by households in the SR by placing RFID tags into municipal waste. The paper presents a legislative regulatory approach towards the environmental impacts from using RFID tags in the SR, as well as an analysis of the environmental burden of using RFID tags throughout the world. The core of the paper is focused on the research conducted in order to calculate the environmental burden of a model household in the SR, where the number of used RFID tags per year was observed; then, the volume of e-waste produced by households of the Slovak Republic per year was determined. In the conclusion, we provide the results of the research presented and discuss including our own proposal for solving the problems connected with the environmental burden of RFID technology.


2008 ◽  
Vol 3 (1) ◽  
pp. 55-70
Author(s):  
Dharmaraj Veeramani ◽  
Jenny Tang ◽  
Alfonso Gutierrez

Radio frequency identification (RFID) is a rapidly evolving technology for automatic identification and data capture of products. One of the barriers to the adoption of RFID by organizations is difficulty in assessing the potential return on investment (ROI). Much of the research and analyses to date of ROI in implementing RFID technology have focused on the benefits to the retailer. There is a lack of a good understanding of the impact of RFID at upper echelons of the supply chain. In this paper, we present a framework and models for assessing the value of RFID implementation by tier-one suppliers to major retailers. We also discuss our real-life application of this framework to one of Wal-Mart’s top 100 suppliers


2017 ◽  
Vol 23 (2) ◽  
pp. 448-466 ◽  
Author(s):  
Afrooz Moatari-Kazerouni ◽  
Ygal Bendavid

Purpose Since mid-2000s, hospitals have begun implementing radio-frequency identification (RFID) technology in order to improve their operations. The purpose of this paper is to explore the potential of RFID technology in improving the traceability of surgical instruments in a hospital environment. Design/methodology/approach A case study is conducted at a teaching hospital in Montreal, Canada. Business process reengineering approach and simulation techniques are used to assess the realistic potential of the RFID technology. The application of different scenarios and how they influence the efficiency of process flow between the central sterilization department and operating rooms of the hospital is investigated. Findings Research outcomes demonstrated how tagging individual instruments or their sets lead to reduction of the time spent in re-processing the soiled instrument as well as the reduction of costs related to staff. Furthermore, specific key performance indicators are identified and eventual issues related to implementation of the re-designed processes are discussed. Originality/value Implementing RFID-enabled solutions in hospital context is still an emerging phenomenon that involves various stakeholders in a change management project. While implementing RFID technology can benefit hospitals by improving business processes and workflows, the adoption is still slow, especially for managing surgical instruments. It is, hence, crucial to compare the advantages and drawbacks of RFID-enabled surgical instruments solutions with other well-established traceability technologies such as barcoding.


2011 ◽  
Vol 179-180 ◽  
pp. 949-954 ◽  
Author(s):  
Xiao Hua Cao ◽  
Juan Wan

Internal material supply management for manufacturing workshops usually suffers from message delay and abnormal logistics events, which seriously holdback the reactivity capability of production system. As a rapid, real-time, accurate information collection tools, Radio Frequency identification (RFID) technology has become an important driver in the production and logistics activities. This paper presents a new idea that uses RFID technology to monitor real-timely the abnormal logistics events which occur at each work space in the internal material supply chain and proposes its construction method in details. With the experimental verification of prototype system, the proposed RFID-based monitoring system can find in time the abnormal logistics events of internal material supply chain and largely improve the circulation velocity of production logistics, and reduce the rate of mistake which frequently occurred in traditional material management based on Kanban.


Author(s):  
Pingyu Jiang ◽  
Wei Cao

As a key advanced manufacturing technology in next generation manufacturing systems, radio frequency identification (RFID) technology is considered to be one of the most promising technological innovations with the potential to increase visibility and improve efficiency. Therefore, research about RFID and its applications are increasing by blasting with all kinds of RFID models in various fields, especially in manufacturing. By introducing RFID technology into the job-shop floor, this paper proposes a systematic RFID-driven graphical formalized deduction model (rfid-GFDM) for describing the time-sensitive state and position changes of work-in-progress (WIP) material flows and guiding where to deploy RFID devices and how to use them for collecting real-time on-site data. Four steps including RFID configuration based on the process flow model, state blocks model, automatic event generation, and extended event-driven model are proposed one by one to support the implementation of rfid-GFDM. The nature of RFID technology is revealed, too. A use case about a computer numerical control (CNC) milling system is studied, and it demonstrates the feasibility of the proposed model. Finally, the possibility of popularizing the model to other field is discussed, too. It is expected to establish a normative RFID modeling method that will facilitate the convenience of RFID applications in a broad scope.


2019 ◽  
Vol 8 (4) ◽  
pp. 1743-1745

Vehicular traffic can hardly escape the list of critical problems in the world that demand to be resolved at the earliest. Attempting to eradicate the factors that led to this menace is a process too long for the current critical situation to wait for and stay unattended. Considering the serious consequences that ensue as a result of traffic jams, some solution that can bring an expeditious remedy needs to be found in order to handle the current situation. And this paper is aimed at proposing one such solution which can considerably ameliorate the degree of the mayhem that is prevailing, using Radio Frequency IDentification (RFID) technology.


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