Digital Manufacturing Transformation in the Automotive Industry: A Technical Analysis
DOI:
https://doi.org/10.32628/CSEIT25112362Keywords:
Digital Manufacturing, Industry 4.0, Smart Manufacturing, Digital Twin Technology, Manufacturing Systems IntegrationAbstract
The automotive manufacturing sector is experiencing a profound transformation driven by Industry 4.0 principles and digital technologies. This comprehensive article examines the evolution of smart manufacturing technologies, their impact on production processes, and the resulting paradigm shift in automotive manufacturing operations. The article explores the implementation of digital twins, advanced manufacturing systems integration, cybersecurity frameworks, and workforce development strategies. The article highlights how these technological advancements have revolutionized production efficiency, quality control, and market responsiveness while addressing the challenges of legacy system integration and cybersecurity. Furthermore, it investigates the future trajectory of automotive manufacturing, focusing on additive manufacturing technologies, artificial intelligence applications, and software-defined vehicle production methodologies.
Downloads
References
Ömer Faruk Görçün, et al., "Evaluation of Industry 4.0 strategies for digital transformation in the automotive manufacturing industry using an integrated fuzzy decision-making model," Journal of Manufacturing Systems, 2024. Available: https://www.sciencedirect.com/science/article/abs/pii/S027861252400102X
Carlos Llopis-Albert, et al., "Impact of digital transformation on the automotive industry" International Journal of Automotive Technology and Management, 2020. Available: https://www.researchgate.net/publication/344566625_Impact_of_digital_transformation_on_the_automotive_industry
Dimitrios Piromalis, et al., "Digital Twins in the Automotive Industry: The Road toward Physical-Digital Convergence," Smart Science, 2022. Available: https://www.mdpi.com/2571-5577/5/4/65
Rupinderpreet Singh, et al., "Analyzing performance indicators of advanced manufacturing technology implementation using MCDM," Materials Today: Proceedings, 2021. Available: https://www.sciencedirect.com/science/article/abs/pii/S2214785321015273
Theresa Campbell, "Challenges of Legacy System Integration: An In-Depth AnalysisChallenges of legacy system integration: An in-depth analysis." Lonti Blogs, 2023. Available: https://www.lonti.com/blog/challenges-of-legacy-system-integration-an-in-depth-analysis
Armando Souza Júnior, "The State of Cybersecurity in Smart Manufacturing Systems: A Systematic Review," European Journal of Business Management and Research, 2021. Available: https://www.researchgate.net/publication/357644465_The_State_of_Cybersecurity_in_Smart_Manufacturing_Systems_A_Systematic_Review
Rapl, "Closing the digital skills gap in automotive manufacturing: Microlearning for industry 4.0," Rapl Insights, 2023. Available: https://getrapl.com/blog/closing-the-digital-skills-gap-in-automotive-manufacturing/
Silvester Adi Surya Herjuna, et al., "Impact of Training and Development Programs on Employee Performance in the Manufacturing Sector," Journal of Manufacturing Systems Training, 2024. Available: https://www.researchgate.net/publication/387340366_Impact_of_Training_and_Development_Programs_on_Employee_Performance_in_the_Manufacturing_Sector
Anastasia Andriiuk, et al., "Key Technology Trends in the Automotive Industry in 2025," Epic flow Blogs, 2024. Available: https://www.epicflow.com/blog/5-latest-trends-in-the-automotive-industry/
Carlos Llopis-Albert, "Impact of digital transformation on the automotive industry," Technological Forecasting and Social Change, 2024. Available: https://www.sciencedirect.com/science/article/pii/S0040162520311690
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.