An Analysis of Operational Process Changes Due to Industry 4.0: Focused on Mahindra and Mahindra Ltd. in Nagpur
Keywords:
Industry 4.0, digital transformation, Mahindra and Mahindra Ltd, operational processes, automation, IoT, AI-driven systems, workforce skill development, NagpurAbstract
Rapid advancements in Industry 4.0 technologies have reshaped the operational frameworks of manufacturing enterprises, with Mahindra and Mahindra Ltd. serving as a significant case study. This research explores how digital transformation and automation have influenced core operational processes at the company's Nagpur unit. By integrating data analytics, IoT, and AI-driven systems, the study highlights the tangible benefits and challenges encountered during this transition. The investigation is rooted in qualitative and quantitative methods, analysing key performance indicators such as production efficiency, cost management, and employee adaptability. Results emphasize that while operational efficiency and data-driven decision-making have improved substantially, challenges such as workforce skill gaps and high initial investment costs remain pertinent. The findings underline the importance of strategic planning and robust change management practices to harness the full potential of Industry 4.0. By focusing on Mahindra and Mahindra Ltd., the research provides actionable insights for other organizations aiming to adopt similar technological transformations in the automotive sector.
Downloads
Metrics
References
Kumar, S., & Gupta, A. (2020). Impact of Industry 4.0 on Operational Efficiency in Manufacturing, published by Pearson Education in June 2020.
Sharma, P. (2019). Automation and Digital Transformation in Indian Industries, McGraw Hill Education, September 2019.
Singh, H. (2018). Robotic Innovations in Automotive Manufacturing, Wiley India, April 2018.
Mehta, M., & Verma, R. (2021). Sustainable Manufacturing in the Era of Industry 4.0, published by Sage Publications, March 2021.
Patel, D. (2022). Leveraging Big Data for Operational Efficiency in Manufacturing, Tata McGraw Hill, August 2022.
Research Papers:
Reddy, K., & Joshi, S. (2022). Cybersecurity Challenges in Industry 4.0: A Review of Current Practices and Future Trends, Journal of Cybersecurity and Digital Protection, November 2022.
Nair, S., & Shah, K. (2018). Data Analytics in Industry 4.0: Enhancing Decision-Making and Operational Efficiency, Journal of Data Science and Technology, January 2018.
Gupta, N., & Sharma, V. (2021). Sustainability Practices in Industry 4.0: A Review of Green Manufacturing, International Journal of Environmental Impact, October 2021.
Joshi, P., & Tiwari, R. (2021). Customer-Centric Innovations in Industry 4.0: Leveraging Big Data for Personalization, International Journal of Marketing Technology, March 2021.
.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
