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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
Article Submitted : 15073
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Total Authors : 18064
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| Paper Title: | DIGITAL TWIN TECHNOLOGY IN WHOLESALE PHARMACEUTICALS SUPPLY CHAIN |
| Authors Name: | Abhik Choudhury |
| Download E-Certificate: | Download |
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IJRTI_190444
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| Published Paper Id: | IJRTI2411009 |
| Published In: | Volume 9 Issue 11, November-2024 |
| DOI: | |
| Abstract: | Digital twins, virtual replicas of physical entities, are revolutionizing supply chain management, particularly in the pharmaceutical industry. This research paper explores their application across supply chains, focusing on the pharmaceutical sector. By integrating advanced computational methods, innovative system architectures, and significant case studies, we demonstrate how digital twins enhance operational efficiency and decision-making processes. In pharmaceuticals, digital twins offer solutions for drug manufacturing, cold chain management, and regulatory compliance. Their implementation is bolstered by AI/ML techniques, IoT devices, and Big Data analytics. We examine the architectural and execution approaches required for successful digital twin deployment, addressing scalability and security challenges. Our findings highlight how digital twins can transform pharmaceutical supply chain operations through real-time monitoring, predictive maintenance, and enhanced decision-making frameworks. This study underscores the potential of digital twins to significantly improve efficiency and compliance in pharmaceutical supply chains while charting a course for future innovations. |
| Keywords: | Digital twins, Pharma supply chain, Real time order management, controlled substance monitoring, Fraud detection, Artificial Intelligence (AI), Machine Learning (ML), Internet of things (IoT), Big Data Analytics, Supply chain optimization, Regulatory compliance, Predictive analytics, Cold Chain management, Data Engineering, Industry 4.0, Drug, diversion prevention. |
| Cite Article: | "DIGITAL TWIN TECHNOLOGY IN WHOLESALE PHARMACEUTICALS SUPPLY CHAIN", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 11, page no.76 - 85, November-2024, Available :http://www.ijrti.org/papers/IJRTI2411009.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2411009
Registration ID:190444
Published In: Volume 9 Issue 11, November-2024
DOI (Digital Object Identifier):
Page No: 76 - 85 Country: Exton, Pennsylvania, United States Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2411009 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2411009 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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