» Articles » PMID: 31226474

Cyber-physical-based PAT (CPbPAT) Framework for Pharma 4.0

Overview
Journal Int J Pharm
Specialties Chemistry
Pharmacology
Date 2019 Jun 22
PMID 31226474
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Industry 4.0 aims to integrate manufacturing operations into a seamless digital whole by incorporating flexibility, agility, re-configurability, and sustainability. The result of this integration is a "smart factory" that is more lean, agile, and flexible in operations. There are valid reasons, and perhaps requirements, for pharmaceutical industries to embrace smart factory and to "borrow" the concept of Industry 4.0 to give rise to "Pharma 4.0" (i.e., the pharmaceutical version of Industry 4.0). This paper proposes a cyber-physical-based PAT framework called CPbPAT for implementing smart manufacturing systems in the pharmaceutical industry. The framework has been developed using an agent-based system and is presented by a standard system modeling language called the Unified Modeling Language (UML). The pharmaceutical manufacturing system shown in "Quality by Design for ANDAs" is used as a case study to illustrate the application of the proposed framework.

Citing Articles

Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: Implications for supply chain sustainability in emerging economies.

Debnath B, Shakur M, Bari A, Saha J, Porna W, Mishu M PLoS One. 2023; 18(6):e0287149.

PMID: 37319165 PMC: 10270361. DOI: 10.1371/journal.pone.0287149.


Data-Driven Approach toward Long-Term Equipment Condition Assessment in Sterile Drug Product Manufacturing.

Zurcher P, Badr S, Knuppel S, Sugiyama H ACS Omega. 2022; 7(41):36415-36426.

PMID: 36278076 PMC: 9583323. DOI: 10.1021/acsomega.2c04182.


Predicting Spray Dried Dispersion Particle Size Via Machine Learning Regression Methods.

Schmitt J, Baumann J, Morgen M Pharm Res. 2022; 39(12):3223-3239.

PMID: 35986124 PMC: 9780133. DOI: 10.1007/s11095-022-03370-3.


Application of Artificial Neural Networks in the Process Analytical Technology of Pharmaceutical Manufacturing-a Review.

Nagy B, Galata D, Farkas A, Nagy Z AAPS J. 2022; 24(4):74.

PMID: 35697951 DOI: 10.1208/s12248-022-00706-0.


Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines.

Sarfraz A, Sarfraz Z, Sarfraz M, Razzack A, Bano S, Makkar S J Prim Care Community Health. 2022; 13:21501319211068638.

PMID: 34984932 PMC: 8753236. DOI: 10.1177/21501319211068638.