Auto-ID Technologies Research Articles

Auto-Identification Technologies in Academic Libraries

The study focuses on the importance and advantages of various auto-identification technology which are used in academic libraries. Libraries are not safe and secure and facing many problems, like theft, mutilation of library materials and other unethical losses. Auto-identification technologies are useful for libraries to solve those problems. There are various Auto-identification technologies which are used in libraries, like bar codes, smart cards, bio-metric, GPRS, and radio frequency identification (RFID). In this paper, studied some auto-id technology and benefits and challenges of these technologies.

Resonator Based Chipless RFID: A Frequency Domain Comprehensive Review

The fundamental concept and salient details about passive resonators in chipless radio frequency identification (RFID) technology are presented in this review article. The analysis also intends to assist the advancement of chipless autoidentification technology by addressing constraints, such as price, physical footprint, and coding capacity. The study makes it clear that resonators are the fundamental building blocks of modern chipless RFID industries. They are capable enough to enhance the detection performance, encoding ability, and information storage capacity that increase the usage of the transponder in a multitude of applications in various retailing and medical domains. Importance is given to smart materials and metamaterials that utilize resonators from an industrial standpoint. This article examines current developments in RFID resonators and the problems that they inevitably bring with them, such as sensitivity, selectivity, interference, collision, polarization, and read range.

Chipless RFID: A Unique Technology for Mankind

The present era of digitization is looking forward to updating the manual system with automation. The chipless Radio Frequency Identification (RFID), a well-known wireless technology, eliminates the hurdle of human intervention and comes into the Automatic Identification (Auto-ID) technology market. Although the low cost of optical barcodes dominates them for many years, their restricted read distance, reduced information storing capacity, and significant manual involvement in their operation call out the need for an alternative. The conventional RFID overcomes all the above-mentioned shortcomings of an optical barcode. But the cost of the RFID is an important problem. This article reviews chipless RFID which benefits over existing Auto-ID technologies. An overview of the basic RFID system, categories of RFID tags, and a comparison of chipless and chipped RFID tags are outlined. Understanding the relevance of chipless RFID in the future, the classes of chipless RFID tags, the challenges that come across in designing a chipless RFID, the principle of operation of a backscattering chipless tag, and design parameters like Radar Cross Section (RCS) are discussed. This article throws light on RFID tag printing, data capturing techniques of chipless RFID, certain materials used for tag manufacturing, chipless RFID-based sensors, potential applications, followed by current challenges and future directions of chipless RFID tags.

Economic Analysis Development and Provider Elective Decision Model on Auto-ID Technology Investment

In the last few years, the warehousing system use Auto Identification technology to manage the warehouse operation. Auto-ID is often used to obtain the information about amount, location, content, and condition of part or product. However, some industries still use manual warehouse management. Manual warehouse management systems usually cause some problem like inventory shrinkage and stock out. The investment and application of Auto-ID technology on the warehouse system can reduce the effect of the manual system. The use of Auto-ID technology in warehousing systems has a significant effect on the reduction of human error, the reduction of loss of goods, the accuracy of inventory stock, and can handle the product in large quantities, the speed of acceptance, and improve the delivery process. In this research, the cost and benefit analysis was carried out to assess the Auto-ID technology investments. The cost of inventory shrinkage reduction, labor and stock out, and the increase of productivity and maintenance on the spare parts warehouse management system used to analyse the cost benefit. To determine the expected NPV value in Auto-ID technology investments used Monte Carlo analysis. Furthermore, a company’s evaluation for selecting an Auto ID provider is a significant aspect. The evaluation of decision making for selecting Auto ID vendors is based on three criteria. This is referred to as many criteria decision making. Vendor performance, service after installation, and system attributes are the criteria employed in the decision-making model. Evaluation of Auto-ID vendor selection is done by using AHP. Based on the results of AHP analysis for the selection of Auto-ID suppliers, it was found that supplier PT C was the main priority (39.3%) for best suppliers, and the last priority was PT B (13.8%).

Review of auto-ID technology use in warehouse management

Warehouses play a significant role in the seamless distribution, integration, and storage of items as well as in supply chain operations. Automated identification (auto-ID) technologies that include barcode and RFID provide class- or item-level visibility to facilitate effective and efficient decisions in their respective environments. A warehouse environment benefits from auto-ID through improved cost savings, operational efficiency, and opportunities for higher revenues. It is therefore not surprising that both researchers and practitioners have considered the use of auto-ID in warehouses. We take stock of related literature to determine the state-of-the-art on auto-ID use in warehouse management, with specific focus on RFID, and identify potential directions of further research. Based on our review, we develop a conceptual framework that incorporates the primary factors that guide the decision to adopt auto-ID in warehouse management.

DECISION MAKING ANALYSIS OF AUTO-ID SYSTEM USING ANALYTICAL HIERARCHY PROCESS (AHP) AT PT. AKG

The increasingly competitive industrial competition makes companies from all sectors around the world change the system to be more efficient and effective. One of the efforts to improve the company is by implementing a Warehouse Management System (WMS). Lately, many large companies are implementing Auto-ID (automatic identification) technology to solve existing problems. The types of Auto-ID technology that are often used are barcode, RFID and QR code technology. PT AKG is a manufacturing company that produces and markets plastic finished materials to serve the needs of other companies has not yet implemented WMS, this causes human error due to the process still manual. This research proposed to find the best warehouse management system using the Analytical Hierarchy Process (AHP) method for PT. AKG. Alternative systems in this study are barcode, RFID, and QR code with the criteria used are cost, fuctionality, performance, and sustainability. Based on the results, the system chosen is the QR code with a score of 0.578084. QR codes can make it easier for operators and PPIC department staff to take notes and minimize recording errors. Recording that originally used Microsoft Excel and paper as a tool is no longer needed because operators only need to scan using a smartphone that is connected to the company's warehouse management system.

Decision-making model for Auto-ID technology adoption in the banking industry

The justification of investment technology Auto-ID (automatic identification) in banks aims to assist practitioners in solving banking problems. A study is needed to find out the importance of investing in Auto-ID technology in a company. This technology will be made in an integrated system that can be used to monitor important documents and assets in the bank with two alternatives that are suitable for this case namely barcode and RFID. In the process of technology adoption, there are various forms of approaches ranging from strategic, economic, analytical and comprehensive where in the case of IT justification is more suitable to use analytic and comprehensive namely DEMATEL and ANP because it needs to capture intangible factors. In the DEMATEL calculation, the operator criteria group with the highest weight is eternity, followed by IT and economic optimization. In addition, it was also found that the most influential recipient groups were satisfaction, cost savings, and expansion. Then in the ANP method, the calculation results are obtained that the global weighting of the criteria with the highest value is an opportunity, followed by benefits, costs, and risks. So that the alternative decision obtained is RFID is the technology chosen for adoption in the banking industry.

Next Generation Auto-Identification and Traceability Technologies for Industry 5.0: A Methodology and Practical Use Case for the Shipbuilding Industry

Industry 5.0 follows the steps of the Industry 4.0 paradigm and seeks for revolutionizing the way industries operate. In fact, Industry 5.0 focuses on research and innovation to support industrial production sustainability and place the well-being of industrial workers at the center of the production process. Thus, Industry 5.0 relies on three pillars: it is human-centric, it encourages sustainability and it is aimed at developing resilience against disruptions. Such core aspects cannot be fully achieved without a transparent end-to-end human-centered traceability throughout the value chain. As a consequence, Auto-Identification (Auto-ID) technologies play a key role, since they are able to provide automated item recognition, positioning and tracking without human intervention or in cooperation with industrial operators. Although the most popular Auto-ID technologies provide a certain degree of security and productivity, there are still open challenges for future Industry 5.0 factories. This article analyzes and evaluates the Auto-ID landscape and delivers a holistic perspective and understanding of the most popular and the latest technologies, looking for solutions that cope with harsh, diverse and complex industrial scenarios. In addition, it describes a methodology for selecting Auto-ID technologies for Industry 5.0 factories. Such a methodology is applied to a specific use case of the shipbuilding industry that requires identifying the main components of a ship during its construction and repair. To validate the outcomes of the methodology, a practical evaluation of passive and active UHF RFID tags was performed in an Offshore Patrol Vessel (OPV) under construction, showing that a careful selection and evaluation of the tags enables product identification and tracking even in areas with a very high density of metallic objects. As a result, this article serves as a useful guide for industrial stakeholders, including future developers and managers that seek for deploying identification and traceability technologies in Industry 5.0 scenarios.

An Ultra-Rugged UHF RFID Reader Antenna: A New Design for Convention Center Loading Docks [Wireless Corner

At present, the ultrahigh frequency (UHF) radio-frequency identification (RFID) technology is more popular than several other autoidentification (auto-ID) technologies. An ultrarugged UHF RFID reader antenna is made from a concrete substrate that is sandwiched between a stubbed quarterwave radiator and a folded ground plane is proposed for fixed UHF RFID readers. This linearly polarized antenna operates between 865 and 868 MHz with a 3.5-dBi peak gain and a 160-MHz, -15-dB |S11| bandwidth. The 3.5- and 2-dBi gain bandwidth are 80 and 140 MHz, respectively. The antenna is intended to be used in convention center loading docks and is thus tested for extreme environmental conditions, such as temperature, humidity, condensation, and rain as well as the effect of superstrates and metals. More than one concrete tile antenna can be operated by using one RFID reader to realize a distributed antenna system (DAS). The antenna is conformal and can blend with the environment without affecting the existing aesthetics. The antenna creates a wide circumferential read zone (s5.6-m diameter) and reads tags up to 6.5 m at the boresight in free space.

Stock visibility for retail using an RFID robot

PurposeThe combination of the latest advancements in information and communication technologies with the latest developments in AutoID technologies, especially radio frequency identification (RFID), brings the possibility of high-resolution, item-level visibility of the entire supply chain. In the particular case of retail, visibility of both the stock count and item location in the shop floor is crucial not only for an effective management of the retail supply chain but also for physical retail stores to compete with online retailers. The purpose of this paper is to propose an autonomous robot that can perform stock-taking using RFID for item-level identification much more accurately and efficiently than the traditional method of using human operators with RFID handheld readers.Design/methodology/approachThis work follows the design science research methodology. The paper highlights a required improvement for an RFID inventory robot. The design hypothesis leads to a novel algorithm. Then the cycle of development and evaluation is iterated several times. Finally, conclusions are derived and a new basis for further development is provided.FindingsAn autonomous robot for stock-taking is proven feasible. By applying a proper navigation strategy, coupled to the stream of identifications, the accuracy, precision, consistency and time to complete stock-taking are significantly better than doing the same task manually.Research limitations/implicationsThe main limitation of this work is the unavailability of data to analyze the actual impact on the correction of inventory record inaccuracy and its subsequent implications for the supply chain management. Nonetheless, it is shown that figures of actual stock-tacking procedures can be significantly improved.Originality/valueThis paper discloses the potential of deploying an inventory robot in the supply chain. The robot is called to be a key source of inventory data conforming supply chain management 4.0 and omnichannel retail.

Digital transformation technologies as an enabler for sustainable logistics and supply chain processes – an exploratory framework

Goal: The aim is to present a literature review for identifying digital transformation technologies (DTT) for manufacturing and pointing out their capabilities and applications. Furthermore, the paper lays out an exploratory framework to depict the impact scope of the cases on logistics and supply chain management (L&SCM) processes.
 Design / Methodology / Approach: The identification of relevant DTTs and their capabilities is based on a systematic literature review. The exploratory framework builds upon Industry 4.0 concepts and frameworks as well as the conditions for sustainable digital artefacts. It is then related to cases found in the systematic literature review.
 Results: The results indicate that the DTT auto identification, additive manufacturing, and cloud technology lead to improvements concerning transparency efficiency, optimizing distribution distances and logistics resources in networks. The framework presents an avenue for assessing the impact scope and potentials of implementing DTT.
 Limitations of the investigation: The literature base limits the findings since it is built upon two databases and is restricted to articles published in English. The theoretically deduced framework accounts for the dimensions technologies, the SCOR model and RAMI architecture. The illustration is simplified but can be detailed according to the needs. It is not tested based on case studies and should therefore be applied in practice to further develop it.
 Practical implications: Practitioners gain insight into how to anchor potential use cases for more sustainable L&SCM processes in the framework.
 Originality / Value: This paper is the first to relate the capabilities of DTT to more sustainable L&SCM processes in manufacturing by means of a systematic literature review and link the findings to an exploratory framework.

Performance Analysis of Tree-Based Tag Anti-Collision Protocols for RFID Systems

DOI : 10.26650/electrica.2019.19030 In today’s fast-changing competitive environment, companies and organizations need to develop their services, applications, and business processes continuously in order to benefit more from time and resources. Radio Frequency Identification (RFID), as one of the technological innovations, is an autoid technology that enables many new application domains in diverse scientific fields and provides important opportunities to build efficient industrial systems. It is capable of identifying, locating, tracking and monitoring objects, and offers companies and organizations important advantages to develop efficient and successful business applications. In RFID systems, tag identification is a critical process. However, tag collisions occur when multiple tags transmit their IDs to a reader simultaneously, and thus affect the stability of the RFID system. Therefore, a powerful tag anti-collision mechanism is required to accelerate the tag identification process while minimizing the collision effects. In this paper, we presented a performance analysis of some of the tree-based tag anti-collision protocols (binary tree, query tree, adaptive binary tree, and adaptive query tree) to evaluate the tag identification process for the RFID system in an IoT environment. In our experiments, we observed that adaptive tree-based tag anti-collision protocols have better performance than the binary tree protcol and the query tree protocol. Cite this article as : Yuksel ME, Fidan H. Performance Analysis of Tree-Based Tag Anti-Collision Protocols for RFID Systems. Electrica, 2019; 19(2): 182-192.

A Novel RFID-Based Anti-Counterfeiting Scheme for Retail Environments

Product counterfeiting and theft are on-going problems in supply chains and retail environments, but not a lot of work has been done to address these problems through the cost-effective use of auto-identification technologies such as bar-codes, near-field communication (NFC), or radio-frequency identification (RFID). In this paper, we propose an RFID-based anti-counterfeiting and anti-theft scheme that can be used to detect counterfeit items at the point of purchase by a consumer. The proposed system is lightweight and suited for deployment in large-scale retail environments using low-cost passive tags. We also undertake an analysis of a recent scheme proposed by Tran and Hong to highlight some of the weaknesses of their scheme. A detailed security analysis of the proposed scheme shows that it satisfies the formal requirements of security correctness and is resistant to compromise through security attacks.

A scalable real-time tracking and monitoring architecture for logistics and transport in RoRo terminals

Supply chain management and complex logistics compel constant monitoring and handling of even more growing shipment chains. Therefore, it prompts the necessity to track and trace goods, for ensuring the control and management of the different logistics operations. In port terminals, tracking and tracing cargo is primitive for smooth and flexible services. Technologies such as RFID, GPS, RTLS, etc. are widely used for monitoring cargo flow in the logistics chain. In light of this, this paper proposes a novel architecture based on auto-ID technologies like QRcode, Barcode, Magnetic card ID to support real-time tracking of vehicles in a RoRo terminal and provide their stay time as well as processing time in each service. The modeled system aims to solve dynamic logistics process management problems, monitor rolling cargo, identify similar behavior as well as increase traffic flow and reduce check-in time.Design/approach: The proposed architecture provides a real-time tracking capability. It tracks a vehicle in each area of the terminal through a portal that identify it using a barcode, a QRcode or a magnetic ID card. The system performs the process logic checking/reasoning and provides process knowledge support.Originality: The proposed architecture is a novel approach which leverages the logistics performance in RoRo terminals and facilitates the tracking of vehicles and provides a real-time knowledge support on processes for those who handle logistics operations.

A nomological network of customers’ privacy perceptions: linking artifact design to shopping efficiency

ABSTRACTThe explosive growth of mobile devices and their widespread acceptance by customers along with the potential benefits of autoID technologies have prompted retailers to consider adoption of emerging technologies. Their motives are to enhance in-store customer shopping experience and to acquire an advantage in the competitive retail environment. Two interrelated issues nevertheless have been a hindrance: mobile shopping application usability and customers’ privacy concerns. Drawing on a recently developed conceptualisation of mobile application usability and the multidimensional developmental theory of privacy, we tackle these two issues. We theorise about the impact of artifact design on mobile application usability and the consequent impact of usability on customers’ privacy concerns and shopping efficiency. We tested our hypotheses in two retail store laboratory studies in which the participants were assigned to two different shopping tasks: general browsing (n = 194) and goal-directed shopping (n = 190). We found that adhering to mobile application usability principles could mitigate privacy concerns and consequently, improve shopping efficiency. Our findings suggest new avenues to alleviate customers’ privacy concerns using artifact design, thus complementing conventional approaches that focus on preventive measures to deal with the issue of privacy concerns.

Evaluating the impact of Auto ID technologies on Oil and Gas ERP system data accuracy and reliability – Part 1

Most of ERP system still uses manual entry or mass upload method to enter the data collected from the warehouse. These methods are highly unreliable and prone to manual error affecting the data accuracy. The high data accuracy and current data are required by the business for many critical decisions. Invalid data will have a negative performance impact on the ERP system and also lead to economic loss to the organization. Auto ID technologies is used to track and collect data in real time. They can also be integrated with ERP system to provide a live update reducing the data’s inconsistency. In this research it is hypothesized that by integrating Auto ID technologies into the ERP system the data accuracy and reliability can be increased significantly utilizing live data update. The expected results are that the Auto ID technologies will improve the ERP system data accuracy and reliability which will provide a huge cost savings.

Using AUTO-ID technologies in the Cuban drug logistics system to increase its safety and efficiency

This research was conducted involving five of the main supply chain of medicines in Cuba actors, including, since suppliers of medicines and the 3PL logistics operator, to healthcare centers and pharmacies. A diagnosis of the current state of the system of coding and classification of products was made. This activity showed, as main deficiencies, ineffectiveness on the products identification, since there are problems with codes, descriptions and units of measurements. A procedure to implement the AUTO-ID and EDI technologies proposed by GS1, was also designed, based on evaluating the effectiveness of these technologies in global logistics.

Evaluating the impact of Auto ID technologies on Oil and Gas ERP system data accuracy and reliability- Part 2

Evaluating the impact of Auto ID technologies on Oil and Gas ERP system data accuracy and reliability- Part 2

Evaluating the impact of Auto ID technologies on Oil and Gas ERP system data accuracy and reliability – Part 1

Evaluating the impact of Auto ID technologies on Oil and Gas ERP system data accuracy and reliability – Part 1

Evaluating the impact of Auto ID technologies on Oil and Gas ERP system data accuracy and reliability - Part 1

Evaluating the impact of Auto ID technologies on Oil and Gas ERP system data accuracy and reliability - Part 1