Review of the Strategic Importance of RFID data Concept for Examination Management Process

The main goal of the researcher in this study is to re-examine the RFID data concept from a new point of view The preponderance studies on RFID data concept have focused on substantial adoption in different sector In this study the investigator has tried to shift the focus to not only adoption but to the relevance of adoption in the management of examination and this has led to the understanding and conversation on the topic of an Automatic and Data Capture Technology AIDCT like RFID dat

A survey on subjecting electronic product code and non-ID objects to IP identification

Over the last decade, both research on the Internet of Things (IoT) and real-world IoT applications have grown exponentially. The IoT provides us with smarter cities, intelligent homes, and generally more comfortable lives. However, the introduction of these devices has led to several new challenges that must be addressed. One of the critical challenges facing interacting with IoT devices is to address billions of devices (things) around the world, including computers, tablets, smartphones, wearable devices, sensors, and embedded computers, and so on. This article provides a survey on subjecting Electronic Product Code and non-ID objects to IP identification for IoT devices, including their advantages and disadvantages thereof. Different metrics are here proposed and used for evaluating these methods. In particular, the main methods are evaluated in terms of their: (i) computational overhead, (ii) scalability, (iii) adaptability, (iv) implementation cost, and (v) whether applicable to already ID-based objects and presented in tabular format. Finally, the article proves that this field of research will still be ongoing, but any new technique must favorably offer the mentioned five evaluative parameters.Comment: 112 references, 8 figures, 6 tables, Journal of Engineering Reports, Wiley, 2020 (Open Access

RFID Enabled Visualisation of Product Flows: A Data Analytics Approach

Radio frequency identification (RFID) is an information facilitator that can directly improve decision‐making; thus many retailers and suppliers have adopted it. A vast amount of RFID data streams has been gathered, however, it remains unutilized, or it is been exploited solely for inventory count purposes. This research proposes a way to analyze the immense volume of RFID data reflecting the behavior of products in retail stores, in order to produce information for inventory availability and inventory flows at different stages of the supply chain. We propose an RFID data analytics artifact that transforms RFID data captured in retail stores to the flows of the inventory/ products between locations in the stores. By mining the RFID data streams, we reveal the flow patterns of the products; these patterns correspond to the frequent product paths in the stores, and we provide them to the retailers in a visual manner. This unprecedented knowledge is valuable, because it can enable decisions ranging from shelves space allocation, dynamic pricing programs for slow-moving fresh products to product assortment. Furthermore, to testify artifacts’ correctness and usefulness, we have put it in practice, using real data provided by an Italian fashion retailer, in order to show how it can really support such decisions

The Synergic Relationship Between Industry 4.0 and Lean Management: Best Practices from the Literature

Industry 4.0 promises to make manufacturing processes more efficient using modern technologies like cyber-physical systems, internet of things, cloud computing and big data analytics. Lean Management (LM) is one of the most widely applied business strategies in recent decades. Thus, implementing Industry 4.0 mostly means integrating technologies in companies that already operate according to LM. However, due to the novelty of the topic, research on how LM and Industry 4.0 can be integrated is still under development. This paper explores the synergic relationship between these two domains by identifying six examples of real cases that address LM-Industry 4.0 integration in the extant literature. The goal is to make explicit the best practices that are being implemented by six distinct industrial sectors such as automotive, paper, furniture, healthcare, apparel, and machine manufacturing.Fundação para a Ciência e Tecnologia (FCT) and C-MAST (Centre for Mechanical and Aerospace Science and Technologies), under project UIDB/00151/2020info:eu-repo/semantics/publishedVersio

A Review of Supply Chain Data Mining Publications

The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using SCOPUS and EBSCO Business search engines. Articles were classified by supply chain function. Additional papers reflecting technology, to include RFID use and text analysis were separately reviewed. The paper concludes with discussion of potential research issues and outlook for future development

Radio Frequency Identification (RFID) Technology: Gaining A Competitive Value Through Cloud Computing

Radio Frequency Identification (RFID) uses radio waves to track the movement of goods through the Supply Chain system. The identity of an object is captured with a unique serial number that is transmitted wirelessly to a computer system. Small businesses are facing RFID implementation barriers.  The barriers range from the perspective of the consumer-goods manufacturers and retail organizations.  We propose implementing RFID technology using cloud computing framework to alleviate or reduce the implementation cost which is the most prevalent barrier.

Energy consideration when integrating Blockchain with IoT for anti-counterfeit

Blockchain technology has been growing in popularity after Bitcoin, the first protocol has demonstrated a strong use case of the technology in Finance. Over the years, as the technology develops more and more, other use cases for the technology which basically relies on a distributed ledger database system have been explored in areas like supply chain and Internet of Things, to help in some of the bottleneck which IoT faces, some of the challenges are security, privacy, scalability, etc. This thesis work will consider energy consumption when integrating IoT with the Blockchain for anti-counterfeit purposes. Because there is little public academic information about the integration of Blockchain with IoT, it is very difficult to ascertain quantitatively, the energy requirement in application areas like anti-counterfeit. This thesis work has to qualitatively, rely on projects whitepapers and application documentation when comparing the energy requirement in the integration of Blockchain and IoT used for counterfeit solutions by different projects. Both private and public (open-sourced) projects were considered and resulted in two broad classifications ‘integration by brands using a unique identifier (RFID and NFC)’ and ‘integration throughout a product lifecycle’. Energy need for each project(s) in a class is considered based on the IoT hardware used and the Blockchain generation and consensus which also seems to have an impact on the implementation cost and complexity of the project

The Use of RFID Technologies for E-Enabling Logistics Supply Chains

"This book explores the creation of integrated supply chains, the developments of virtual business, and the processes of re-engineering for business development"--Provided by publisher

Radio Frequency Identification (RFID) based wireless manufacturing systems, a review

Radio frequency identification (RFID) is one of the most promising technological innovations in order to track and trace products as well as material flow in manufacturing systems. High Frequency (HF) and Ultra High Frequency (UHF) RFID systems can track a wide range of products in the part production process via radio waves with level of accuracy and reliability.   As a result, quality and transparency of data across the supply chain can be accurately obtained in order to decrease time and cost of part production. Also, process planning and part production scheduling can be modified using the advanced RFID systems in part manufacturing process. Moreover, to decrease the cost of produced parts, material handling systems in the advanced assembly lines can be analyzed and developed by using the RFID. Smart storage systems can increase efficiency in part production systems by providing accurate information from the stored raw materials and products for the production planning systems. To increase efficiency of energy consumption in production processes, energy management systems can be developed by using the RFID-sensor networks. Therefore, smart factories and intelligent manufacturing systems as industry 4.0 can be introduced by using the developed RFID systems in order to provide new generation of part production systems. In this paper, a review of RFID based wireless manufacturing systems is presented and future research works are also suggested. It has been observed that the research filed can be moved forward by reviewing and analyzing recent achievements in the published papers