The interplay of emerging technologies in pharmaceutical supply chain performance: An empirical investigation for the rise of Pharma 4.0

E Saha, P Rathore, R Parida, NP Rana - Technological Forecasting and …, 2022 - Elsevier
The impact and the relevance of the emerging technologies on the supply chains have
attracted researchers and practitioners alike worldwide. Based on the resource-based view …

A review on the modernization of pharmaceutical development and manufacturing–Trends, perspectives, and the role of mathematical modeling

F Destro, M Barolo - International Journal of Pharmaceutics, 2022 - Elsevier
Recently, the pharmaceutical industry has been facing several challenges associated to the
use of outdated development and manufacturing technologies. The return on investment on …

PAT implementation for advanced process control in solid dosage manufacturing–A practical guide

S Sacher, J Poms, J Rehrl, JG Khinast - International Journal of …, 2022 - Elsevier
The implementation of continuous pharmaceutical manufacturing requires advanced control
strategies rather than traditional end product testing or an operation within a small range of …

Cyber-physical production networks, internet of things-enabled sustainability, and smart factory performance in industry 4.0-based manufacturing systems

M Hawkins - Economics, Management, and Financial Markets, 2021 - ceeol.com
I develop a conceptual framework based on a systematic and comprehensive literature
review on cyber-physical production networks, Internet of Things-enabled sustainability, and …

Multi-degree-of-freedom high-efficiency wind power generation system and its optimal regulation based on short-term wind forecasting

W Dong, H Sun, J Tan, Z Li, J Zhang, H Yang - Energy Conversion and …, 2021 - Elsevier
The efficient and stable operation of wind generators is important for the realization of large-
scale power generation. In this study, a multi-degree-of-freedom (multi-DoF) wind power …

Semi-supervised contrastive regression for pharmaceutical processes

Y Li, Y Liao, Z Sun, X Liu - Expert Systems with Applications, 2024 - Elsevier
Artificial intelligence methods of time series are starting to play an increasing role in the
pharmaceutical field, and in recent years, there have been significant advances in self …

[HTML][HTML] Digital twin of low dosage continuous powder blending–Artificial neural networks and residence time distribution models

ÁK Beke, M Gyürkés, ZK Nagy, G Marosi… - European journal of …, 2021 - Elsevier
In this paper we present a thorough description of the digital twin development for a
continuous pharmaceutical powder blending process in accordance with the Process …

[HTML][HTML] Powder property change after passing through a feeder: The effect of electrostatics on powder flow

Z Liu, FJ Muzzio, G Callegari - Powder Technology, 2023 - Elsevier
Powder feeding is one of the most critical processes in continuous manufacturing of powder-
related products. Predictions of final product attributes have overlooked possible changes of …

Adaptive Quality Control With Uncertainty for a Pharmaceutical Cyber-Physical System Based on Data and Knowledge Integration

Z Wang, S Tang, G Guo, Y Yang, D He… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In the context of Pharma 4.0, ie, the pharmaceutical version of Industry 4.0, pharmaceutical
quality control (PQC) for a pharmaceutical cyber-physical system (PCPS) plays a critical role …

[HTML][HTML] Evaluation of a combined MHE-NMPC approach to handle plant-model mismatch in a rotary tablet press

YS Huang, MZ Sheriff, S Bachawala, M Gonzalez… - Processes, 2021 - mdpi.com
The transition from batch to continuous processes in the pharmaceutical industry has been
driven by the potential improvement in process controllability, product quality homogeneity …