AI-Driven Efficiency in Pharmaceutical Manufacturing: Enhancing Productivity, Compliance, and Decision-Making

The pharmaceutical manufacturing business exists in a strictly controlled sector needing high standards of efficiency along with precise operations and complete adherence to standards. The current manual work practices in traditional systems result in both workflow inefficiencies together with opportunities for human mistakes. Artificial Intelligence (AI) through its ChatGPT application provides modern industrial solutions that optimize workflows and automatically document processes and create decision-enhancing technology. The study investigates how AI enables pharmaceutical manufacturing operations to become more efficient as well as ensuring product quality and handling supply chains and meeting regulatory needs. Organizations achieve better productivity rates and decreased manual labor while basing decisions on data through AI-driven solutions which create enhanced compliance as well as greater manufacturing performance.

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Publication Details

Journal
International Journal of Multidisciplinary Sciences and Arts
Published
2025-04-05
DOI
https://doi.org/10.47709/ijmdsa.v4i1.5715
Primary Topic
Statistical and Computational Modeling
Type
article
Field-Weighted Citation Impact
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article

AI-Driven Efficiency in Pharmaceutical Manufacturing: Enhancing Productivity, Compliance, and Decision-Making

Aditya Pradeep Sohoni
2 links
International Journal of Multidisciplinary Sciences and Arts
Statistical and Computational Modeling
article

AI-Driven Efficiency in Pharmaceutical Manufacturing: Enhancing Productivity, Compliance, and Decision-Making

Aditya Pradeep Sohoni
article en

Abstract

The pharmaceutical manufacturing business exists in a strictly controlled sector needing high standards of efficiency along with precise operations and complete adherence to standards. The current manual work practices in traditional systems result in both workflow inefficiencies together with opportunities for human mistakes. Artificial Intelligence (AI) through its ChatGPT application provides modern industrial solutions that optimize workflows and automatically document processes and create decision-enhancing technology. The study investigates how AI enables pharmaceutical manufacturing operations to become more efficient as well as ensuring product quality and handling supply chains and meeting regulatory needs. Organizations achieve better productivity rates and decreased manual labor while basing decisions on data through AI-driven solutions which create enhanced compliance as well as greater manufacturing performance.

International Journal of Multidisciplinary Sciences and ArtsVol. 4(1)
Oldham Council (GB)
Openalex Percentile: Top 89%
Statistical and Computational Modeling
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AI-Driven Efficiency in Pharmaceutical Manufacturing: Enhancing Productivity, Compliance, and Decision-Making — Aditya Pradeep Sohoni · International Journal of Multidisciplinary Sciences and Arts (2025) | TGRS Research Map | TGRS