AIChE PD2M Advanced Process Control workshop‐moving APC forward in the pharmaceutical industry-Reference-Cited by-同舟云学术

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AIChE PD2M Advanced Process Control workshop‐moving APC forward in the pharmaceutical industry

Published:2020-11-17 Issue:1 Volume:3 Page:
ISSN:2637-403X
Container-title:Journal of Advanced Manufacturing and Processing
language:en
Short-container-title:Jnl Adv Manuf & Process

Author:

Huang Jun¹^ORCID,O'Connor Thomas²,Ahmed Kaschif³,Chatterjee Sharmista²,Garvin Chris⁴,Ghosh Krishna²,Ierapetritou Marianthi⁵,Jeffers Malcolm⁶,Pla David Lauri¹,Lee Sau L.²,Lovett David⁷,Lyngberg Olav⁸,Mack John⁷,McManus Eoin⁹,Romero‐Torres Saly³,Undey Cenk⁴,Venkatasubramanian Venkat¹⁰,Warman Martin¹¹

Affiliation:

1. Pfizer Peapack NJ USA

2. FDA Silver Spring MD USA

3. Biogen RTP NC USA

4. Amgen Thousand Oaks CA USA

5. University of Delaware Newark DE USA

6. IAAE Blue Bell PA USA

7. Perceptive Engineering Daresbury Cheshire

8. Janssen Titusville NJ USA

9. APC Ltd Loughlinstown Dublin, Ireland

10. Columbia University New York NY USA

11. Martin Warman Consultancy Chestfield Kent, UK

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/amp2.10071

Reference65 articles.

1. A new measure of process output controllability

2. Explicit/multi-parametric model predictive control (MPC) of linear discrete-time systems by dynamic and multi-parametric programming

3. Enhancing Abnormal Events Management by the Use of Quantitative Process Hazards Analysis Results

4. Integrated framework for abnormal event management and process hazards analysis

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2. PAT-Enabled Automated Feedforward Control: An Application to the Continuous Manufacture of Apremilast;Organic Process Research & Development;2024-06-25

3. Hybrid model development and nonlinear model predictive control implementation for continuous dry granulation process;Computers & Chemical Engineering;2024-04

4. PROCESS OPERATORS, ADVANCED PROCESS CONTROL, AND ARTIFICIAL INTELLIGENCE‐BASED APPLICATIONS IN THE CONTROL ROOM;Artificial Intelligence in Process Fault Diagnosis;2024-01-10

5. The Coming of Age of AI/ML in Drug Discovery, Development, Clinical Testing, and Manufacturing: The FDA Perspectives;Drug Design, Development and Therapy;2023-09

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