Machine Vision and Radio-Frequency Identification (RFID) based Real-Time Part Traceability in a Learning Factory

Kumar, Rishi; Patil, Omkar; S, Karthik Nath; Rohilla, Krishan; Sangwan, Kuldip Singh

doi:10.1016/j.procir.2021.11.106

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…However, such implementations and adoption efforts must include adequate addressing of long-term implications and challenges (Bhandari et al, 2023). These include information and data flow, real-time data availability, tracking, personalised customer requirements, stakeholder collaboration, creating new or modifying ways of operating the business, culture, and customer experiences to address changes in behaviour and the demands of the market as a whole (R. Kumar et al, 2021;Neri Numa et al, 2023). This situation is not an exemption in the food industry, where a broad set of knowledge is related to physical, digital, and biological domains (Hassoun, Jagtap, Garcia-Garcia, et al, 2023a).…”

Section: Methodsmentioning

confidence: 99%

Innovating for impact: Proposing quality 4.0 integration to achieve sustainable development goals in microenterprises

Avilés‐Sacoto,

Velasco‐Tapia,

Avilés‐Sacoto

et al. 2024

Bus Strat Dev

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In today's highly competitive global market, companies aim to improve their market position to ensure their competitiveness and survival. The adoption of Industry 4.0 technologies constitutes a good approach to enhancing processes and productivity while maintaining high‐quality standards. This is where Quality 4.0 becomes crucial, as it focuses on boosting the quality of organisational processes through the integration of disruptive technologies from Industry 4.0. Furthermore, companies are prioritising implementing environmentally friendly practices in their processes that support sustainable development. Therefore, it is imperative to evaluate how the application of Quality 4.0 can ease production improvements with minimal environmental impact while also aligning with sustainable development goals. This article analyses how these initiatives can be used within the food industry, specifically those dedicated to the production and sale of a product, evaluating a microenterprise dedicated to the production of artisanal ice cream. A comprehensive framework is proposed for the adoption of Quality 4.0 and its potential to support sustainable development goals. Using the PDCA cycle, the original situation is evaluated to later recommend strategies and tools to create improvements in the enterprise.

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Section: Methodsmentioning

confidence: 99%

Innovating for impact: Proposing quality 4.0 integration to achieve sustainable development goals in microenterprises

Avilés‐Sacoto,

Velasco‐Tapia,

Avilés‐Sacoto

et al. 2024

Bus Strat Dev

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“…RFID-TECHNOLOGY appeared in the fourth period too, as shown in Figure 31, but now with more themes and some themes analyzed like "SUPPLY-CHAIN-MANAGEMENT" (fourth period) and new themes like "ARTIFICIAL-INTELLIGENCE" that compare with other themes for this cluster is have more other interactions. Analyze the documents for this period, is not find a direct correlation between RFID and "Artificial Intelligence", but some applications like (Kumar, Patil, Nath, Rohilla & Sangwan, 2021) applied RFID with a machine-vision application (artificial intelligence) system allowing intelligent tracking and tracing of workpieces in real-time in the value chain and (Konecka & Maryniak, 2020) made a conceptual correlation to RFID and Industry 4.0, to sustainable supply chain, reinforcing the importance of using data from RFID technologies and some apply artificial intelligence.…”

Section: Period 4 (2018-2019)mentioning

confidence: 99%

Exploring the nexus of RFID and industry 4.0: Bibliometric analysis to investigate the strategic themes and thematic evolution

Soares Pereira,

Cooper Ordoñez,

Beydoun

et al. 2024

JIEM

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Purpose: This article aims to identify themes associated with RFID technologies (Radio Frequency Identification) and industry 4.0. Using key articles from the database developed for this study, the main themes underlying key technology features and their relationships will be uncovered.Design/methodology/approach: Systematic quantitative literature review is conducted to uncover hidden relationships between RFID and industry 4.0. The research methodology encompasses a systematic analysis of pertinent literature and resources, employing a structured approach to identify and categorize crucial topics and keywords that constitute the basis for our exploration. Subsequently, we delve into the relationships within these identified dimensions, aiming to synthesize a holistic interpretation of the connections between RFID and Industry 4.0.Findings: Through our rigorous analytical process, we have unveiled significant attributes embedded within the three delineated dimensions. These findings contribute to our capacity to construct a synoptic depiction that encapsulates all relevant associations between RFID technology and the Industry 4.0 paradigm. The synthesis of relationships between Radio Frequency Identification (RFID) technology and the Industry 4.0 framework, derived from our analysis of pivotal dimensions and keywords, offers a profound insight into the intricate interplay between these domains. As industries continue to evolve in the wake of technological advancements, this study contributes to the foundation of knowledge necessary to navigate the dynamic landscape of modern industrial systems.Research limitations/implications: Bibliometric network analysis offers a systematic approach to literature review, aiding researchers in identifying seminal works, influential authors, and emerging trends within a field. By visualizing the relationships between authors, journals, and keywords, bibliometric network analysis facilitates the mapping of academic disciplines, enabling researchers to comprehend the intellectual landscape. Network analysis highlights potential collaboration opportunities by revealing clusters of authors or institutions with closely related research interests and specific works related industry 4.0 and RFID, wans’t found, however, being a potential limitation, it proved to be a way to maintain the originality and necessity of this work we are presenting.Practical implications: The practical employs bibliometric research to explore the synergy between Industry 4.0 and Radio Frequency Identification (RFID), aiming to provide a comprehensive understanding and practical applicability of these interconnected themes. The study's findings offer practical implications such as facilitating technology integration, optimizing operations, guiding investment decisions, fostering collaborations, informing policy-making, supporting professional development, and enabling knowledge dissemination. These insights underscore the tangible real-world impact of academic research in enhancing industry practices and driving innovation within the context of Industry 4.0 and RFID integration.Originality/value: This study stands as one of the pioneering works to delineate the themes linked with both Radio Frequency Identification (RFID) technologies and the Industry 4.0 paradigm.

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“…After all, Industry 4.0 belongs to a dynamic strategy of intelligent production, which allows computers and machines to "see" the world through the extraction, processing, and analysis of visual knowledge [8][9][10]. Industry 4.0 tends to limit human intervention, as well as any biased decision making in quality control [11], to upgrade decision-making and production processes, offering immense help in problems of traceability, classification, detection, identification, etc. Industry 5.0 is going to use the creativity of specialized people so that they can cooperate better with intelligent and precise machines [12].…”

Section: Introductionmentioning

confidence: 99%

Machine Vision—Moving from Industry 4.0 to Industry 5.0

Tzampazaki,

Zografos,

Vrochidou

et al. 2024

Applied Sciences

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The Fourth Industrial Revolution combined with the advent of artificial intelligence brought significant changes to humans’ daily lives. Extended research in the field has aided in both documenting and presenting these changes, giving a more general picture of this new era. This work reviews the application field of the scientific research literature on the presence of machine vision in the Fourth Industrial Revolution and the changes it brought to each sector to which it contributed, determining the exact extent of its influence. Accordingly, an attempt is made to present an overview of its use in the Fifth Industrial Revolution to identify and present the changes between the two consequent periods. This work uses the PRISMA methodology and follows the form of a Scoping Review using sources from Scopus and Google Scholar. Most publications reveal the emergence of machine vision in almost every field of human life with significant influence and performance results. Undoubtedly, this review highlights the great influence and offer of machine vision in many sectors, establishing its use and searching for more ways to use it. It is also proven that machine vision systems can help industries to gain competitive advantage in terms of better product quality, higher customer satisfaction, and improved productivity.

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Machine Vision and Radio-Frequency Identification (RFID) based Real-Time Part Traceability in a Learning Factory

Cited by 5 publications

References 16 publications

Innovating for impact: Proposing quality 4.0 integration to achieve sustainable development goals in microenterprises

Innovating for impact: Proposing quality 4.0 integration to achieve sustainable development goals in microenterprises

Exploring the nexus of RFID and industry 4.0: Bibliometric analysis to investigate the strategic themes and thematic evolution

Machine Vision—Moving from Industry 4.0 to Industry 5.0

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