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Product quality, safety, and regulatory compliance are essential in pharmaceutical packaging. This study proposes a conceptual framework that integrates a structured Knowledge Repository (KR) with Knowledge Representation and Reasoning (KRR) to enhance compliance management through intelligent reasoning, decision-making and optimisation in pharmaceutical packaging. Future research should focus on practical implementation and explore IoT, machine learning and blockchain to enhance reliability, efficiency, and regulatory adherence in pharmaceutical packaging operations.

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Knowledge Representation and Reasoning for Pharmaceutical Packaging Compliance: A Preliminary Study

  • 会议论文

  • 发表日期：

    2025年

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  • Amalia Mukhlas,
  • Shahrinaz Ismail,
  • Bazilah A. Talip,
  • Jawahir Che Mustapha

摘要

Product quality, safety, and regulatory compliance are essential in pharmaceutical packaging. This study proposes a conceptual framework that integrates a structured Knowledge Repository (KR) with Knowledge Representation and Reasoning (KRR) to enhance compliance management through intelligent reasoning, decision-making and optimisation in pharmaceutical packaging. Future research should focus on practical implementation and explore IoT, machine learning and blockchain to enhance reliability, efficiency, and regulatory adherence in pharmaceutical packaging operations.