A technology maturity assessment framework for Industry 5.0 machine vision systems based on systematic literature review in automotive manufacturing
Fotios K. Konstantinidis, Nikolaos Myrillas, Konstantinos A. Tsintotas, Spyridon G. Mouroutsos, Αντώνιος Γαστεράτος
- 发表年份
- 2023
- 引用次数
- 58
摘要
AbstractWhen considering how an intelligent factory can 'see,' the answer lies in machine vision technology. To assess the current technological advancements of machine vision systems and propose a technology maturity assessment framework, a nine-phase Systematic Literature Review (SLR) strategy was implemented. As the automotive industry stands at the forefront of autonomous systems, we analysed 85 works across the entire automotive manufacturing life cycle. The findings revealed that machine vision is utilised in each technological pillar of Industry 4.0, encompassing autonomous robots, augmented reality, predictive maintenance, additive manufacturing, and more. In analysing 22 vision-based applications in 47 automotive components, we clustered machine vision systems' architectural components and processing techniques, ranging from threshold-based methods to advanced reinforcement learning techniques suitable for the I5.0 environment. Leveraging the insights gathered, we propose the I5.0 technology maturity assessment framework for machine vision systems, evaluating nine functional components across five scaling technology levels. This framework serves as a valuable tool to identify weaknesses and opportunities for improvement, guiding machine vision integration into an intelligent factory.Keywords: Maturity assessmentmachine visionsystematic literatureautomotive manufacturingindustry 5.0zero defect manufacturing Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementData sharing not applicable – no new data generatedNotes1 https://fortune.com/fortune500/2021/.2 https://fortune.com/fortune500/2021/.3 https://bit.ly/ReviewedPapersAndAnalytics.Additional informationNotes on contributorsFotios K. KonstantinidisFotios Konstantinidis is a Team leader in Industry 5.0 & Smart Manufacturing at the Institute of Communication and Computer Systems (ICCS) of the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) and holds a Ph.D. in Smart Manufacturing from the department of Production & Management Engineering at the Democritus University of Thrace (DUTh). He is currently leading a team of researchers and professionals with the objective of developing advanced industrial waste sorting systems. These systems utilize cutting-edge technologies such as hyperspectral & visual imaging, delta robots, air nozzles, X-ray sensors, and pretreatment units. Their focus areas include the efficient sorting of (bio)plastic waste, construction and demolition waste, metal scraps, mining characterization, and wood waste. Before this, Fotios worked as an I4.0 Technology Analyst, analysing the plants' maturity level and proposing I4.0 strategies for Fortune 500 companies. In contrast, he worked in the telecom industry at the Next-Generation Access networks. He has also organised workshops, delivered presentations at conferences/workshops, and published peer-reviewed journal papers throughout his career.Nikolaos MyrillasNikolaos Myrillas is a graduate of the Democritus University of Thrace. He holds a bachelor's degree in Production and Management Engineering. His research focuses on Industry 4.0 (I4.0) and advanced manufacturing technologies during the fourth industrial revolution. This was also the topic of his thesis, which was conducted as a final step of his studies. Nikolaos has worked in EYDAP S.A. - ATHENS WATER SUPPLY AND SEWERAGE COMPANY as an intern, where he gained exposure to the sustainable management practices of EYDAP through training on the exploitation of its renewable energy resource facilities. Nikolaos is not yet that experienced, but his love and passion for I4.0-related topics are guiding him.Konstantinos A. TsintotasKonstantinos Tsintotas (Senior Member, IEEE) received a bachelor's degree from the Department of Automation Engineering, Technological Education Institute of Chalkida (now National and Kapodistrian University of Athens)
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