Modernize Manufacturing: Powered by Google Cloud |
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| © 2025 by IJCTT Journal | ||
| Volume-73 Issue-2 |
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| Year of Publication : 2025 | ||
| Authors : Manas Srivastava | ||
| DOI : 10.14445/22312803/IJCTT-V73I2P103 | ||
How to Cite?
Manas Srivastava, "Modernize Manufacturing: Powered by Google Cloud," International Journal of Computer Trends and Technology, vol. 73, no. 2, pp. 18-22, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I2P103
Abstract
This paper outlines the challenges that the manufacturing industry faces in adopting Industry 4.0 principles, and it examines how cloud platforms, particularly Google Cloud, can help manufacturers achieve their goals of becoming a factory of the future. The challenges include IT/OT misalignment, data silos, a lack of specialized talent, pilot purgatory, cybersecurity gaps, and limited flexibility. Cloud computing offers solutions by providing elasticity and scale, enhanced security, seamless integration, data centricity, and easy-to-use pre-trained models and APIs. These cloud-based solutions enable key innovations such as inventory intelligence, predictive maintenance, supply chain optimization, and agile manufacturing, which improve efficiency and decision-making. Additionally, cloud computing enhances workforce productivity by automating mundane tasks and providing access to data from anywhere. Ultimately, cloud technologies are essential for modernizing the manufacturing industry and creating smart factories that are more productive, efficient, and flexible.
Keywords
Cloud Technologies, Digital Manufacturing, Industry 4.0, Integration, Predictive maintenance, Real-time visibility.
Reference
[1] Philip Ross, and Kasia Maynard, “Towards a 4th Industrial Revolution,” Intelligent Buildings International, vol. 13, no. 3, pp. 159-161, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] V. Ramana Reddy, and E. Sakshal Sreeman, “Sustainable Aspects of Green Supply Chain Management in Manufacturing Environment,” SSRG International Journal of Industrial Engineering, vol. 3, no. 3, pp. 17-22, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Usama Awan et al., Artificial Intelligence for Supply Chain Success in the Era of Data Analytics, The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success, Springer, Cham, pp. 3-21, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Erik Hofmann et al., “Supply Chain Management and Industry 4.0: Conducting Research in the Digital Age,” International Journal of Physical Distribution & Logistics Management, vol. 49, no. 10, pp. 945-955, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Mohsen Attaran, Sharmin Attaran, and Diane Kirkland, “The Need for Digital Workplace: Increasing Workforce Productivity in the Information Age,” International Journal of Enterprise Information Systems, vol. 15, no. 1, pp. 1-23, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Google Cloud Helps Manufacturers Bridge IT and OT Data with Manufacturing Data Engine and Cortex Framework, 2024. [Online]. Available:https://cloud.google.com/blog/topics/manufacturing/manufacturing-bridging-it-ot-data-engine-cortex-framework?e=48754805
[7] Rajesh Thallam, BigQuery Explained: An Overview of Big Query's Architecture, 2020. [Online]. Available: https://cloud.google.com/blog/products/data-analytics/new-blog-series-bigquery-explained-overview?e=48754805
[8] Helping Businesses with Generative AI, 2023. [Online]. Available: https://cloud.google.com/blog/products/ai-machine learning/generative-ai-for-industries?e=48754805
[9] Chan Jian Jern et al., “Cloud Security: Counteracting Evolving Threats in a Digital Age,” Preprints, pp. 1-19, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Alain Aoun et al., “A Review of Industry 4.0 Characteristics and Challenges, with Potential Improvements Using Blockchain Technology,” Computers & Industrial Engineering, vol. 162, 2021.
[CrossRef] [Google Scholar] [Publisher Link]