2017
DOI: 10.1007/s12247-017-9297-6
|View full text |Cite
|
Sign up to set email alerts
|

A Systematic Framework for Process Control Design and Risk Analysis in Continuous Pharmaceutical Solid-Dosage Manufacturing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
12
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 32 publications
(12 citation statements)
references
References 35 publications
0
12
0
Order By: Relevance
“…In this context, information about the residence time distribution (RTD) of the material is crucial as it defines the flow and spreading of material within the manufacturing line. It can be applied to define batch and lot (which can be a batch or a specified portion of a batch) as the basis for material diversion (out-of-spec removal) and recall decisions, and is required to create a control strategy of a continuous process (Almaya et al, 2017b;Engisch and Muzzio, 2015b;Nunes de Barros et al, 2017;Su et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…In this context, information about the residence time distribution (RTD) of the material is crucial as it defines the flow and spreading of material within the manufacturing line. It can be applied to define batch and lot (which can be a batch or a specified portion of a batch) as the basis for material diversion (out-of-spec removal) and recall decisions, and is required to create a control strategy of a continuous process (Almaya et al, 2017b;Engisch and Muzzio, 2015b;Nunes de Barros et al, 2017;Su et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Benefits realized from the aforementioned in-line methods are increased knowledge of process dynamics, timely measurements of intermediate material attributes, and reduced end product testing. 15…”
Section: Introductionmentioning
confidence: 99%
“…The cooling power and the inlet speed of the pelletizer influence the quality of pellets produced. As is the case with many other continuous pharmaceutical manufacturing processes [7][8][9][10][11][12], appropriate control strategies must be defined. Model-based approaches for control strategy development were successfully demonstrated in the pharmaceutical industry already [8,10,11,13,14].…”
Section: Introductionmentioning
confidence: 99%