Abstract
Global digital transformation is no longer an abstract trend but a modern reality that fully determines the development of companies and global markets. This means that in order to ensure competitiveness in global markets in the future 10–20 years—and this is what the National Technology Initiative in many countries is guiding—a high-tech company needs to be a leader now, at least, to have effective business models to work on different segments of global markets. This paper considers and suggests the systematization and classification of future manufacturing concepts and discusses the conceptual trends and models of smart factory. It considers practical examples of smart factory in Russian automotive market and proposes the mathematical model for choosing a digital transformation model based on smart manufacturing concept and analytic hierarchy process method, taking into account digital maturity of a high-tech company. The main problems and barriers for implementing ideas of smart factories are also discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Department of Energy High-End Computing Revitalization Act (2004). https://www.nsf.gov/mps/ast/aaac/p_l_108-423_doe_high-end_computing_revitalization_act_of_2004.pdf. Accessed 08 Oct 2019
IT-Enterprise knowledge-base of technology-innovation (2018) https://www.it.ua/ru/knowledge-base/technology-innovation/smart-factory. Accessed 2 Dec 2020.
Yao X, Zhou J, Zhang J, Boër C (2017) From intelligent manufacturing to smart manufacturing for industry 4.0 driven by next generation artificial intelligence and further, 5th international conference on enterprise systems, Beijing, pp 311–318. https://doi.org/10.1109/ES.2017.58
Thoben K, Wiesner S, Wuest T (2017) “Industrie 4.0” and smart manufacturing—a review of research issues and application examples. Int J Autom Technol 11(1):4–16
Zhang Y, Zhang S (2019) Ren Survey on current research and future trends of smart manufacturing and its key technologies. Mech Sci Technol Aerosp Eng 38:329–338
New-manufacturing-it-smart-manufacturing-iot-industrie-4-digital-thread.html. https://www.manufacturing-operations-management.com/manufacturing/2015/05/new-manufacturing-it-smart-manufacturing-iot-industrie-4-digital-thread.html. Accessed 02 Dec 2020
Zakoldaev D, Korobeynikov A, Shukalov A, Zharinov I (2017) Infrastructure as a service for a digital factory, smart factory and virtual factory of the Industry 4.0. J Phys (Conf Ser) 1333(7):2033
Barykin S, Yadykin V, Kosukhina M, Parfenov A (2020) Network concept of intelligent digital supply chain. E3S Web Conf 164:10026. https://doi.org/10.1051/e3sconf/202016410026
Curns V (2005) Improving ISV Applications to Advance HPC. https://www.hpcwire.com/2005/06/17/improving_isv_applications_to_advance_hpc-1/. Accessed 17 Feb 2020
U.S. Manufacturing—Global Leadership Through Modeling and Simulation. http://www.compete.org/storage/images/uploads/File/PDF%20Files/HPC%20Global%20Leadership%20030509.pdf. Accessed 08 Oct 2020.
Executive Order—Creating a National Strategic Computing Initiative. https://obamawhitehouse.archives.gov/the-press-office/2015/07/29/executive-order-creating-national-strategic-computing-initiative. Accessed 08 Dec 2020.
A National Advanced Manufacturing Portal. http://www.manufacturing.gov. Accessed 08 Dec 2020
Materials Genome Initiative for Global Competitiveness/National Science and Technology Council. https://www.mgi.gov/sites/default/files/documents/materials_genome_initiative-final.pdf. Accessed 18 Dec 2020
Gartner’s 2019 Hype cycle for emerging technologies identifies three key trends that organizations must track to gain competitive advantage. http://www.gartner.com/newsroom/id/3412019. Accessed 18 Sept 2020
Top Trends in the Gartner Hype Cycle for Emerging Technologies (2017) http://www.gartner.com/smarterwithgartner/top-trends-in-the-gartner-hype-cycle-for-emerging-technologies-2017. Accessed 18 Sept 2017
Stackpole B (2016) Digital twins land a role in product design. http://www.deskeng.com/de/digital-twins-land-a-role-in-product-design/. Accessed 18 Sept 2017
PWC Global Digital Operations Survey (2018) “Digital Champions” How leaders create integrated operating ecosystems to develop integrated solutions for consumers. https://www.pwc.ru/ru/iot/digital-champions.pdf. Accessed 18 Dec 2020
Mu E, Pereyra-Rojas M (2017) Practical decision making an introduction to the analytic hierarchy process (AHP) using super decisions v2. Springer International Publishing AG, Switzerland
Claudio F (2019) We are seeing significant unmet demand for corporate training. http://vestnikmckinsey.ru/. Accessed 18 Dec 2020
Atlas of new professions. https://atlas100.ru/ Accessed 18. Dec 2020
RBC Information Systems https://trends.rbc.ru/trends/industry. Accessed 18 Dec 2020
Lee S, Shvetsova O (2019) Optimization of the technology transfer process using Gantt charts and critical path analysis flow diagrams: Case study of the Korean automobile industry processes 7(12):898–917
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Kossukhina, M.A., Shvetsova, O.A., Zaozerskaya, N.I. (2022). Smart Factory in the Era of Fourth Industrial Revolution. In: Radionov, A.A., Gasiyarov, V.R. (eds) Proceedings of the 7th International Conference on Industrial Engineering (ICIE 2021). ICIE 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-85230-6_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-85230-6_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85229-0
Online ISBN: 978-3-030-85230-6
eBook Packages: EngineeringEngineering (R0)