Evaluating the potential of Digital Twin technology on pharmaceutical manufacturing efficiency in Ireland: An in-depth analysis of Machinery Validation
<p>The dissertation titled <strong>"Evaluating the Potential of Digital Twin Technology on Pharmaceutical Manufacturing Efficiency in Ireland: An In-depth Analysis of Machinery Validation"</strong> explores the transformative impact of Digital Twin (DT) technology within Ireland's pharmaceutical manufacturing sector. Conducted by MSc candidate Gayathri Gopakumar at Griffith College Dublin, the research focuses on how DT technology can enhance machinery validation processes, thereby improving operational efficiency and ensuring regulatory compliance.</p> <p>Employing a qualitative research methodology, the study includes semi-structured interviews with industry experts to gather insights into the current awareness, perceived benefits, and challenges associated with DT adoption in the pharmaceutical industry. The research aims to provide a comprehensive understanding of DT technology's role in machinery validation and its broader implications for manufacturing efficiency.</p> <p>This work contributes to the existing body of knowledge by offering a detailed analysis of DT technology's potential applications in pharmaceutical manufacturing, with a specific focus on the Irish context. It serves as a valuable resource for professionals and researchers interested in the integration of advanced digital technologies in the pharmaceutical sector.</p>
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32/100
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These five areas show where the dataset supports — or may limit — practical reuse.
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- Harmonization
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- Reuse readiness
- 8
- Engagement
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