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Jo?e Ro?anec, Elena Trajkova, Inna Novalija, Patrik Zajec, Klemen Kenda, Bla? Fortuna and Dunja Mladenic
Artificial intelligence models are increasingly used in manufacturing to inform decision making. Responsible decision making requires accurate forecasts and an understanding of the models? behavior. Furthermore, the insights into the models? rationale ca...
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Hamed Ahmadinia,Muhaimin Karim
In this paper, Qoros automotive manufacturing company, which is aiming atexpanding their market in Europe, will be analyzed. In this case, the challenges that the aforementioned company has faced will be explained and some recommendations regarding marke...
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Tingting Chen, Vignesh Sampath, Marvin Carl May, Shuo Shan, Oliver Jonas Jorg, Juan José Aguilar Martín, Florian Stamer, Gualtiero Fantoni, Guido Tosello and Matteo Calaon
While attracting increasing research attention in science and technology, Machine Learning (ML) is playing a critical role in the digitalization of manufacturing operations towards Industry 4.0. Recently, ML has been applied in several fields of producti...
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Chang-Bae Gil and Jee-Hyong Lee
Manufacturing sites encounter various scheduling problems, which must be dealt with to efficiently manufacture products and reduce costs. With the development of smart factory technology, many elements at manufacturing sites have become unmanned and more...
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Yen-Chun Wen and Wun-Hwa Chen
This study proposes a system construction approach under Industry 4.0 infrastructure that is validated by the proposed framework of microservice quality assessment with framework with data modeling and simulation methodology to achieve innovation and val...
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Aditya Akundi, Daniel Euresti, Sergio Luna, Wilma Ankobiah, Amit Lopes and Immanuel Edinbarough
The term Industry 4.0, coined to be the fourth industrial revolution, refers to a higher level of automation for operational productivity and efficiency by connecting virtual and physical worlds in an industry. With Industry 4.0 being unable to address a...
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Andrés Redchuk and Federico Walas Mateo
This article took the case of the adoption of a Machine Learning (ML) solution in a steel manufacturing process through a platform provided by a Canadian startup, Canvass Analytics. The content of the paper includes a study around the state of the art of...
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Anbesh Jamwal, Rajeev Agrawal, Monica Sharma and Antonio Giallanza
Recent developments in manufacturing processes and automation have led to the new industrial revolution termed ?Industry 4.0?. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production pro...
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Amzar Omairi and Zool Hilmi Ismail
In this work, a comprehensive review on how data-driven modelling and machine learning for error compensation in additive manufacturing is conferred.
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Tuuli Katarina Lepasepp and William Hurst
Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial revolution, its applications have been widely discussed and used in many business scenarios. This concept is derived from the advantages of internet and technology,...
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Leonardo A. Garcia-Garcia,Marisela Rodríguez
Additive manufacturing (AM) is revolutionizing the health industry, where itprovides innovative solutions for the production of personalized devices, such as hand orthoses.However, the scientific research dynamics in this topic have not yet been investig...
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Obiefuna Ezenwa, Adaobi Stella, Agu Okoro Agu
Pág. 26 - 37
The instrument used for data collection was primarily questionnaire and interview. Out of 303 copies of the questionnaire that were distributed 283 copies were returned while 20 were not returned. The survey research design was adopted for the study. The...
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Ritesh Ghimire and Asokan Raji
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Makoto Nakayama,Öykü Isik,Norma Sutcliffe,Sebastian Olbrich
Pág. 1 - 11
Business intelligence (BI) has attracted considerable attention in recent years. Despite the hype, BI frequently suffers from broad definitions, unrealistic expectations, and the incongruities of IT needs between headquarters and local business units. We...
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Katarzyna Antosz, Lukasz Pasko and Arkadiusz Gola
The increase in the performance and effectiveness of maintenance processes is a continuous aim of production enterprises. The elimination of unexpected failures, which generate excessive costs and production losses, is emphasized. The elements that influ...
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Nathan Eskue
This paper provides a detailed review of a digital thread for composite aerospace components. The current state of the digital thread continues to progress and at an ever-accelerating rate due to advancements in supporting technologies such as AI, data c...
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Maziar Nekovee and Ferheen Ayaz
5G is the critical mobile infrastructure required to both enable and accelerate the full digital transformation of vertical sectors. While the 5G for vertical sectors is aiming at connectivity requirements of specific verticals, such as manufacturing, au...
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Mohammad (Behdad) Jamshidi, Arash Dehghaniyan Serej, Alireza Jamshidi and Omid Moztarzadeh
In the era of digitalization and artificial intelligence (AI), the utilization of Metaverse technology has become increasingly crucial. As the world becomes more digitized, there is a pressing need to effectively transfer real-world assets into the digit...
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Janis Arents and Modris Greitans
Industrial robots and associated control methods are continuously developing. With the recent progress in the field of artificial intelligence, new perspectives in industrial robot control strategies have emerged, and prospects towards cognitive robots h...
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Radhya Sahal, Saeed H. Alsamhi, John G. Breslin, Kenneth N. Brown and Muhammad Intizar Ali
Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and service life. The intelligence that...
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