Volume 15, Issue 10 · IJARST · ISSN 2319-1783 / 2320-1126

DIGITAL TRANSFORMATION IN MANUFACTURING

DIGITAL TRANSFORMATION IN MANUFACTURING is an open-access, peer-reviewed research paper by Dr. Syed Mohammed Sayeed, Mr. Kunal Vilas Bhide, Hemanth Kumar Madduru, Dr. Riddhish Pandey, Mr. Deepak Shivram Mudliar, published in Volume 15, Issue 10 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

Dr. Syed Mohammed Sayeed, Mr. Kunal Vilas Bhide, Hemanth Kumar Madduru, Dr. Riddhish Pandey, Mr. Deepak Shivram Mudliar

Abstract

Digital transformation has become a defining strategic priority for manufacturing enterprises seeking to remain competitive in an increasingly volatile, data-intensive, and customer-driven global economy. This paper examines the drivers, adoption patterns, barriers, and operational outcomes associated with the implementation of Industry 4.0 technologies—including the Internet of Things (IoT), cloud computing, artificial intelligence (AI), robotics, and digital twins—within manufacturing organizations. Drawing on a systematic review of recent academic and industry literature together with a primary survey of 150 manufacturing firms, the study employs a mixed-methods research design combining descriptive statistics, correlation analysis, and thematic synthesis. Findings indicate that cloud computing and IoT-enabled connectivity are the most widely adopted technologies, while artificial intelligence, digital twins, and blockchain remain comparatively nascent. High initial investment cost, workforce skill gaps, and legacy system integration emerge as the most significant barriers to adoption. Firms that have implemented digital transformation initiatives report measurable improvements in overall equipment effectiveness, defect reduction, on-time delivery, and energy efficiency. The paper concludes with a conceptual framework linking enabling technologies, organizational readiness, and performance outcomes, and outlines directions for future research, including the roles of generative AI, sustainability-linked digitalization, and small and medium enterprise (SME) readiness.

Keywords: Digital Transformation, Industry 4.0, Smart Manufacturing, Internet of Things, Artificial Intelligence, Automation, Operational Performance

DOI: https://doi.org/10.62226/ijarst20262840

 

References

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DOI

10.62226/ijarst20262840

PAGES : 43-48 | 10 VIEWS | 5 DOWNLOADS

How do you cite this paper?

Dr. Syed Mohammed Sayeed, Mr. Kunal Vilas Bhide, Hemanth Kumar Madduru, Dr. Riddhish Pandey, Mr. Deepak Shivram Mudliar — “DIGITAL TRANSFORMATION IN MANUFACTURING.” International Journal of Advanced Research in Science and Technology (IJARST), Volume 15, Issue 10. DOI: 10.62226/ijarst20262840.

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