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All issues Volume 430 (2023) E3S Web Conf., 430 (2023) 01222 References
Open Access
Issue
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
Article Number 01222
Number of page(s) 21
DOI https://doi.org/10.1051/e3sconf/202343001222
Published online 06 October 2023
  1. L. Gong, B. Zou, and Z. Kan, “Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0,” J. Control Sci. Eng., vol. 2019, doi: 10.1155/2019/3105267.(2019). [Google Scholar]
  2. B. Salah. Real-time implementation of a fully automated industrial system based on ir 4.0 concept. Actuators. (2021). [Google Scholar]
  3. D. Kochuev, R. Chkalov, and A. Chernikov, “Problems of Operative Communication Means for Intelligent Transport Information Systems Under Unstable Cellular Coverage,” in Proceedings - 2019 International Russian Automation Conference, RusAutoCon 2019, doi: 10.1109/RUSAUTOCON.2019.8867781. (2019). [Google Scholar]
  4. O., M. Burke, L. K. Osei, H. Ursell, S. Chapman, and F. D. Pope, “Vehicle Telematics for Safer, Cleaner and More Sustainable Urban Transport: A Review,” Sustainability (Switzerland), vol. 14, no. 24. doi: 10.3390/su142416386. (2022). [Google Scholar]
  5. P. R. Kurumbudel, “Deep Self-Supervised Learning Models for Automotive Systems,” in SAE Technical Papers, 2021. doi: 10.4271/2021-26-0129.(2021). [Google Scholar]
  6. T. Raviteja and I. S. Rajay Vedaraj, “AN INTRODUCTION of AUTONOMOUS VEHICLES and A BRIEF SURVEY,” Journal of Critical Reviews, vol. 7, no. 13. doi: 10.31838/jcr.07.13.33. (2020). [Google Scholar]
  7. T Pardi. Fourth industrial revolution concepts in the automotive sector: performativity, work and employment. Journal of Industrial and Business Economics (2019). [Google Scholar]
  8. R. Kot, “Review of Collision Avoidance and Path Planning Algorithms Used in Autonomous Underwater Vehicles,” Electronics (Switzerland), vol. 11, no. 15.: 10.3390/electronics11152301 (2022). [Google Scholar]
  9. Z. Yu, S. A. R. Khan, and M. Umar, “Circular economy practices and industry 4.0 technologies: A strategic move of automobile industry,” Bus. Strateg. Environ., vol. 31, no. 3, doi: 10.1002/bse.2918. (2022). [Google Scholar]
  10. C. Bai, P. Dallasega, G. Orzes, J. Sarkis. Industry 4.0 technologies assessment: A sustainability perspective. International journal of production economics, 229, 107776. (2020). [CrossRef] [Google Scholar]
  11. M. S. Bhatia and S. Kumar. Critical success factors of industry 4.0 in automotive manufacturing industry. IEEE Transactions on Engineering Management, 69(5), 2439-2453. (2020). [Google Scholar]
  12. A. Verma and M. Venkatesan, Industry 4.0 workforce implications and strategies for organisational effectiveness in Indian automotive industry: a review. Technology Analysis & Strategic Management, 1-9. (2921). [Google Scholar]
  13. A. T. James, G. Kumar, P. Tayal, A. Chauhan, C. Wadhawa, and J. Panchal, “Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry,” Technol. Forecast. Soc. Change, vol. 176, 2022, doi: 10.1016/j.techfore.121483. (2022). [CrossRef] [Google Scholar]
  14. A. Raj, G. Dwived. A. Sharma, A.B.L. de Sousa Jabbour and S. Rajak. Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 107546. (2020). [CrossRef] [Google Scholar]
  15. A. Ghadge, D. G. Mogale, M. Bourlakis, L. M. Maiyar, and H. Moradlou. Link between Industry 4.0 and green supply chain management: Evidence from the automotive industry. Computers & Industrial Engineering, 169, 108303. (2022). [CrossRef] [Google Scholar]
  16. Z. Papulová, A. Gažová, L. Šufliarský, Implementation of automation technologies of industry 4.0 in automotive manufacturing companies. Procedia Computer Science, 200, 1488-1497. (2022) [Google Scholar]
  17. M. Krzywdzinski, “Automation approaches in the automotive industry: Germany, Japan and the USA in comparison,” in International Journal of Automotive Technology and Management, doi: 10.1504/IJATM.2021.116605. (2021). [Google Scholar]
  18. M. Nagy and G. Lăzăroiu, “Computer Vision Algorithms, Remote Sensing Data Fusion Techniques, and Mapping and Navigation Tools in the Industry 4.0-Based Slovak Automotive Sector,” Mathematics, vol. 10, no. 19, doi: 10.3390/math10193543. (2022). [Google Scholar]
  19. P. Osterrieder, L. Budde, and T. Friedli, “The smart factory as a key construct of industry 4.0: A systematic literature review,” Int. J. Prod. Econ., vol. 221, 2020, doi: 10.1016/j.ijpe.2019.08.011. [Google Scholar]
  20. G. Beier, M. Matthess, L. Shuttleworth, T. Guan, D. I.D. O. P. Grudzien, B. Xue and L. Chen, L.Implications of Industry 4.0 on industrial employment: A comparative survey from Brazilian, Chinese, and German practitioners. Technology in society, 70, 102028. (2022). [CrossRef] [Google Scholar]
  21. L. Xu, P. De Vrieze, R. Arshad, and O. Oyekola, “Enhance Supply Chain Resilience through Industry 4.0-A view of designing simulation scenarios,” in Proceedings - 2022 IEEE International Conference on e-Business Engineering, ICEBE 2022,. doi: 10.1109/ICEBE55470.2022.00042. (2022). [Google Scholar]
  22. F. A. Bhat and A. Verma, “A Bibliometric Analysis and Review of Adoption Behaviour of Electric Vehicles,” Transp. Dev. Econ., vol. 9, no. 1, doi: 10.1007/s40890-022-00175-2. (2023). [Google Scholar]
  23. M. Javaid, A. Haleem, R. P. Singh, S. Rab, and R. Suman, “Exploring impact and features of machine vision for progressive industry 4.0 culture,” Sensors International, vol. 3. doi: 10.1016/j.sintl.100132. (2022). [CrossRef] [Google Scholar]
  24. F. K. Konstantinidis, S. G. Mouroutsos, and A. Gasteratos, “The Role of Machine Vision in Industry 4.0: An automotive manufacturing perspective,” in IST - IEEE International (2021). [Google Scholar]
  25. S. Mohajeri, F. Harsej, M. Sadeghpour, and J. Khaleghi Nia, “Industry 4.0 technologies assessment: An integrated reverse supply chain model with the whale optimization algorithm,” Int. J. Nonlinear Anal. 2022. [Google Scholar]
  26. R. Zorzenon, F. L. Lizarelli and B. D. A. Daniel, B. D. A. What is the potential impact of industry 4.0 on health and safety at work? Safety science, 153, 105802 (2022). [CrossRef] [Google Scholar]
  27. N. Tóth-Kaszás, I., Ernszt, E., Péter, B. Mihalics, B. The emergence of digital transformation in the automotive industry-Industry 4.0 in Hungary. Competitio, 21(1-2), 3-28. (2022). [CrossRef] [Google Scholar]
  28. K. Ericsson, S. E.Birkie and M. Bellgran,. Does Industry 4.0 Matter to Automotive SME Suppliers? The Role of Advanced Digital Technologies in the Strategic Work of Firms in the Swedish Automotive Valley. In Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action: IFIP WG 5.7 International Conference, APMS 2022, Gyeongju, South Korea, September 25–29, 2022, Proceedings, Part I (pp. 118-125). Cham: Springer Nature Switzerland. (2022). [Google Scholar]
  29. J. Carey and Mordue, G. Why Industry 4.0 is not enhancing national and regional resiliency in the global automotive industry. International Journal of Automotive Technology and Management, 22(1), 52-81. (2022). [CrossRef] [Google Scholar]
  30. S. Bespalyy. Industry 4.0: Challenges and Opportunities for the Labor Market. Bulletin of the Innovative University of Eurasia (2021). [Google Scholar]
  31. S. Kergroach, “Industry 4.0: New challenges and opportunities for the labour market,” Foresight STI Gov., vol. 11, no. 4, doi: 10.17323/2500-2597.2017.4.6.8. (2017). [Google Scholar]
  32. M. S. Beg, I. M. Yusri, M. F. Jamlos, W. H. Azmi, N. H. Badrulhisam, and O. I. Awad, “Potential and Limitation of Internet of Things (IOT) Application in the Automotive Industry: An Overview,” Int. J. Automot. Mech. Eng., vol. 19, no. 3, doi: 10.15282/IJAME.19.3.2022.06.0766. (2022). [Google Scholar]
  33. P. Pavlinek. Dependent Growth: Foreign Investment and the Development of the Automotive Industry in East- Central Europe. Book: Springer. (2018) [Google Scholar]
  34. A. M. Qazi, S. H. Mahmood, A. Haleem, S. Bahl, M., Javaid, K. Gopal, K..The impact of smart materials, digital twins (DTs) and Internet of things (IoT) in an Industry 4.0 integrated automation industry. Materials Today: Proceedings, 62, 18-25. (2022). [CrossRef] [Google Scholar]
  35. A. Gažová, Z. Papulová, and D. Smolka, “Effect of Business Process Management on Level of Automation and Technologies Connected to Industry 4.0,” in Procedia Computer Science, doi: 10.1016/j.procs.01.351 (2022). [Google Scholar]
  36. C. Brecher, A. Müller, Y. Dassen, and S. Storms, “Automation technology as a key component of the Industry 4.0 production development path,” Int. J. Adv. Manuf. Technol., vol. 117, no. 7–8, doi: 10.1007/s00170-021-07246-5. (2021). [Google Scholar]
  37. M. A. K. Bahrin, M. F. Othman, N. H. N. Azli, and M. F. Talib, “Industry 4.0: A review on industrial automation and robotic,” Jurnal Teknologi, vol. 78, no. 6–13. doi: 10.11113/jtv78.9285. (2016). [Google Scholar]
  38. V. Tripathi, S. Chattopadhyaya, A. K. Mukhopadhyay, S. Sharma, C Li, and G. Di Bona. A sustainable methodology using lean and smart manufacturing for the cleaner production of shop floor management in industry 4.0. Mathematics, 10(3), 34. (2022). [Google Scholar]

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