Continuous Process Verification 4.0 application in upstream: adaptiveness implementation managed by AI in the hypoxic bioprocess of the Pichia pastoris cell factory

Autor: Arnau Gasset, Joeri Van Wijngaarden, Ferran Mirabent, Albert Sales-Vallverdú, Xavier Garcia-Ortega, José Luis Montesinos-Seguí, Toni Manzano, Francisco Valero

Publikováno v: Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)

The experimental approach developed in this research demonstrated how the cloud, the Internet of Things (IoT), edge computing, and Artificial Intelligence (AI), considered key technologies in Industry 4.0, provide the expected horizon for adaptive vi

Externí odkaz: https://doaj.org/article/f5ebe78bac7040099055095e42d5b3fd

Process Analytical Technology Tools for Monitoring Pharmaceutical Unit Operations: A Control Strategy for Continuous Process Verification

Autor: Eun Ji Kim, Ji Hyeon Kim, Min-Soo Kim, Seong Hoon Jeong, Du Hyung Choi

Publikováno v: Pharmaceutics, Vol 13, Iss 6, p 919 (2021)

Various frameworks and methods, such as quality by design (QbD), real time release test (RTRT), and continuous process verification (CPV), have been introduced to improve drug product quality in the pharmaceutical industry. The methods recognize that

Externí odkaz: https://doaj.org/article/b490fe5bf1ce40b2ade2607f45e06926

The RALph miner for automated discovery and verification of resource-aware process models

Autor: Christian Sturm, Jan Mendling, Cristina Cabanillas, Stefan Schönig, Lars Ackermann

Publikováno v: idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname

Automated process discovery is a technique that extractsmodels of executed processes from event logs. Logs typically include information about the activities performed, their timestamps and the resources that were involved in their execution. Recent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d683ce64a3cbead70cff247bbb94843
https://doi.org/10.1007/s10270-020-00820-7

Data-Driven Process Reengineering and Optimization Using a Simulation and Verification Technique

Autor: Md Ashikul Alam Khan, Javaid Butt, Habtom Mebrahtu, Hassan Shirvani, Mohammad Nazmul Alam

Publikováno v: Designs, Vol 2, Iss 4, p 42 (2018)

Process reengineering (PR) in manufacturing organizations is a big challenge, as shown by the high rate of failure. This research investigated different approaches to process reengineering to identify limitations and propose a new strategy to increas

Externí odkaz: https://doaj.org/article/0a07cd7707b143768ae5d8c7b5c0ed47

Recommended Best Practices for Lyophilization Validation 2021 Part II: Process Qualification and Continued Process Verification

Autor: Mehfouz Jalal, Gregory A. Sacha, Ehab M. Moussa, Tong Zhu, Petr Kazarin, Sumit Luthra, Puneet Sharma, Joseph Azzarella, Ted Tharp, Akhilesh Bhambhani, Jayasree M. Srinivasan, Feroz Jameel, Alina Alexeenko, Lavanya K. Iyer, Serguei Tchessalov

Publikováno v: AAPS PharmSciTech

This work describes the lyophilization process validation and consists of two parts. Part one (Part I: Process Design and Modeling) focuses on the process design and is described in the previous paper, while the current paper is devoted to process qu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae2e03a1abbdd43fc3a4e7ebd77517e7
http://europepmc.org/articles/PMC8575750