Haque, Md. Rezaul and Bhuiyan, Fazle Alahi (2024) THE ROLE OF DIGITAL TWIN TECHNOLOGY IN ENHANCING INVENTORY VISIBILITY AND REDUCING BOTTLENECKS IN COMPLEX MANUFACTURING SYSTEMS. Innovative: International Multi-disciplinary Journal of Applied Technology, 2 (9). pp. 317-327. ISSN 2995-486X

Text IMJAT_+The+Role+of+Digital+Twin+Technology.pdf - Published Version Download (479kB)

Abstract

Industry 4.0 technologies as well as, Digital Twin technology has significantly changed the manufacturing industry as it allows real-time monitoring, simulating, and analyzing physical systems. The study examines how Digital Twin can be used to improve inventory visibility and reduce the number of bottlenecks in complex manufacturing environments. Digital Twin can be used to minimize inefficiencies and transform the overall work performance through the increased transparency of supply chains and streamlined production processes. Methods: The research methodology was quantitative with the secondary data sources at Bureau of Economic Analysis (BEA). The correlation analysis, paired t-tests, and multiple regression analysis were employed to evaluate the correlation between Digital Twin technology and the most important manufacturing parameters, including inventory management and production efficiency. Results: The findings show that Digital Twin technology can have a strong positive impact on the production efficiency and inventory visibility, especially with the help of real-time data and foretelling analytic tools. Nonetheless, the decrease in bottlenecks was not as significant as it should have been, and Digital Agility and Digital Flexibility had minimal impacts on reduction of the bottlenecks. The paper also indicates that Digital Twin technology will be beneficial in streamlining manufacturing, but the capability of workforce and system integration have to be tackled. Conclusion: Digital Twin can provide a viable option as a tool to improve inventory control and to minimize bottlenecks in manufacturing, to allow the creation of leaner, responsive, and greener manufacturing systems.

Item Type:	Article
Subjects:	A General Works > AI Indexes (General)
Depositing User:	admin eprints
Date Deposited:	28 Jun 2026 23:34
Last Modified:	28 Jun 2026 23:34
URI:	http://eprints.umsida.ac.id/id/eprint/16662

Actions (login required)

View Item