| Autors: Ilieva, R. Y., Nikolov, M. A. Title: The Impact of AI & ML in Agile Production Keywords: AI, ML, Agile production, 3D Printing Abstract: Nowadays industries and organizations need to be flexible. Every modern organization has one similar goal on their agenda and this is to become “more Agile”. The goals of these industries are to obtain a flexible structure in order to be able to stay relevant and competitive. Some of the technologies that make an improvement of the “agile production” possible are related with Artificial Intelligence and, in particular, Machine Learning. These methodologies are being implemented in the design phase of the R&D field of product development by using 3D printing as a tool. References Issue
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Цитирания (Citation/s):
1. Hunde, B.R., Woldeyohannes, A.D., Future prospects of computer-aided design (CAD) – A review from the perspective of artificial intelligence (AI), extended reality, and 3D printing, Results in Engineering, Volume 14, 2022, 100478, ISSN 2590-1230, https://doi.org/10.1016/j.rineng.2022.100478. (https://www.sciencedirect.com/science/article/pii/S2590123022001487) - 2022 - в издания, индексирани в Scopus и/или Web of Science
2. Kassem, B., Costa, F., Staudacher, A.P. (2021). Discovering Artificial Intelligence Implementation and Insights for Lean Production. In: Powell, D.J., Alfnes, E., Holmemo, M.D.Q., Reke, E. (eds) Learning in the Digital Era. ELEC 2021. IFIP Advances in Information and Communication Technology, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-030-92934-3_18 - 2021 - в издания, индексирани в Scopus и/или Web of Science
Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus
