Information Model for Pharmaceutical Smart Factory Equipment Design

Pharmaceutical production typically focuses on individual drug types for each production line, which limits flexibility. However, the emergence of Industry 4.0 technologies presents new opportunities for more adaptable and customized manufacturing processes. Despite this promise, the development of innovative design techniques for pharmaceutical production equipment remains incomplete. Manufacturers encounter challenges due to rapid innovation cycles while adhering to stringent Good Manufacturing Practice (GMP) standards. Our research addresses this issue by introducing an information model that organizes the design, development, and testing of pharmaceutical manufacturing equipment. This model is based on an exploratory review of 176 articles concerning design principles in regulated industries and integrates concepts from Axiomatic Design, Quality by Design, Model-Based Systems Engineering, and the V-Model framework. Further refinement was achieved through insights from 10 industry experts. The resultant workflow-based information model can be implemented as software to enhance engineering and project management. This research offers a structured framework that enables pharmaceutical equipment manufacturers and users to collaboratively develop solutions in an iterative manner, effectively closing the gap between industry needs and systematic design methodologies.

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Publication Details

Journal
Information
Published
2025-05-17
DOI
https://doi.org/10.3390/info16050412
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.48
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article

Information Model for Pharmaceutical Smart Factory Equipment Design

Irina Saur‐Amaral, Leonor Teixeira, Roland Wölfle
2 citations
Information
Digital Transformation in Industry
2.48
article

Information Model for Pharmaceutical Smart Factory Equipment Design

Irina Saur‐Amaral, Leonor Teixeira, Roland Wölfle
article en
2 citations

Abstract

Pharmaceutical production typically focuses on individual drug types for each production line, which limits flexibility. However, the emergence of Industry 4.0 technologies presents new opportunities for more adaptable and customized manufacturing processes. Despite this promise, the development of innovative design techniques for pharmaceutical production equipment remains incomplete. Manufacturers encounter challenges due to rapid innovation cycles while adhering to stringent Good Manufacturing Practice (GMP) standards. Our research addresses this issue by introducing an information model that organizes the design, development, and testing of pharmaceutical manufacturing equipment. This model is based on an exploratory review of 176 articles concerning design principles in regulated industries and integrates concepts from Axiomatic Design, Quality by Design, Model-Based Systems Engineering, and the V-Model framework. Further refinement was achieved through insights from 10 industry experts. The resultant workflow-based information model can be implemented as software to enhance engineering and project management. This research offers a structured framework that enables pharmaceutical equipment manufacturers and users to collaboratively develop solutions in an iterative manner, effectively closing the gap between industry needs and systematic design methodologies.

InformationVol. 16(5)
University of Beira Interior (PT), Institute of Automation (DE), University of Aveiro (PT)
Openalex Percentile: Top 11%
Digital Transformation in Industry
2.48
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Information Model for Pharmaceutical Smart Factory Equipment Design — Irina Saur‐Amaral, Leonor Teixeira, et al. · Information (2025) | TGRS Research Map | TGRS