Performance-Based Quality Specifications: The Relationship Between Process Critical Control Parameters, Critical Quality Attributes, and Clinical Performance

2011 ◽  
Vol 100 (4) ◽  
pp. 1566-1575 ◽  
Author(s):  
Steven M. Short ◽  
Robert P. Cogdill ◽  
James K. Drennen ◽  
Carl A. Anderson
Pharmaceutics ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 252 ◽  
Author(s):  
Jong Kwon Han ◽  
Beom Soo Shin ◽  
Du Hyung Choi

A robust manufacturing process and the relationship between intermediate quality attributes (IQAs), critical quality attributes (CQAs), and critical process parameters (CPPs) for high-shear wet granulation was determined in this study. Based on quality by the design (QbD) approach, IQAs, CQAs, and CPPs of a telmisartan tablet prepared by high-shear wet granulation were determined and then analyzed with multivariate analysis (MVA) to evaluate mutual interactions between IQAs, CQAs, and CPPs. The effects of the CPPs on the IQAs and CQAs were quantitatively predicted with empirical models of best fit. The models were used to define operating space, and an evaluation of the risk of uncertainty in model prediction was performed using Monte Carlo simulation. MVA showed that granule size and granule hardness were significantly related to % dissolution. In addition, granule FE (Flow Energy) and Carr’s index had effects on tablet tensile strength. Using the manufacture of a clinical batch and robustness testing, a scale-up from lab to pilot scale was performed using geometric similarity, agitator torque profile, and agitator tip speed. The absolute biases and relative bias percentages of the IQAs and CQAs generated by the lab and pilot scale process exhibited small differences. Therefore, the results suggest that a risk reduction in the manufacturing process can be obtained with integrated process parameters as a result of the QbD approach, and the relationship between IQAs, CQAs, and CPPs can be used to predict CQAs for a control strategy and SUPAC (Scale-Up and Post-Approval Guidance).


Author(s):  
Monique Frances Crane ◽  
Sue Brouwers ◽  
Mark William Wiggins ◽  
Thomas Loveday ◽  
Kirsty Forrest ◽  
...  

Objective: This research examined whether negative and positive arousal emotions modify the relationship between experience level and cue utilization among anesthetists. Background: The capacity of a practitioner to form precise associations between clusters of features (e.g., symptoms) and events (e.g., diagnosis) and then act on them is known as cue utilization. A common assumption is that practice experience allows opportunities for cue acquisition and cue utilization. However, this relationship is often not borne out in research findings. This study investigates the role of emotional state in this relationship. Method: An online tool (EXPERTise 2.0) was used to assess practitioner cue utilization for tasks relevant to anesthesia. The experience of positive and negative arousal emotions in the previous three days was measured, and emotion clusters were generated. Experience was measured as the composite of practice years and hours of practice experience. The moderating role of emotion on the relationship between experience and cue utilization was examined. Results: Data on 125 anesthetists (36% female) were included in the analysis. The predicted interaction between arousal emotions and the experience level emerged. In particular, post hoc analyses revealed that anxiety-related emotions facilitated the likelihood of high cue utilization in less experienced practitioners. Conclusion: The findings suggest a role for emotions in cue use and suggest a functional role for normal range anxiety emotions in a simulated work-relevant task. Application: This research illustrates the importance of understanding the potentially functional effects common negative arousal emotions may have on clinical performance, particularly for those with less experience.


2016 ◽  
Vol 106 (01-02) ◽  
pp. 60-64
Author(s):  
S. Braun ◽  
P. Schraml ◽  
E. Abele

Energie- und Ressourceneffizienz sind Qualitätsmerkmale, die auch für moderne Werkzeugmaschinen gelten. Der Energieverbrauch von Maschinen bis zu gesamten Fertigungsstandorten muss im Verhältnis zur erzielten Wertschöpfung deutlich gesenkt werden, um wettbewerbsfähig zu bleiben und unserer Verantwortung gegenüber der Umwelt zu entsprechen. Dieser Beitrag präsentiert anhand eines Fräsprozesses ein modellgestütztes Simulations- und Prognosesystem des Energieverbrauchs von kompletten Bearbeitungsoperationen auf einer Werkzeugmaschine als Basis energetischer Optimierungen.   Resource efficiency and energy consumption are critical quality attributes of modern machine tools. The energy consumption of machine tools, plants and facilities must be significantly reduced relative to the value added in order to stay competitive and fulfil our responsibility towards the environment. This article presents a model-based simulation and prediction system of the expected energy consumption of machine tools executing a given process NC-program as a basis for energetic optimization measures. It is exemplified by milling operations.


Biologicals ◽  
2016 ◽  
Vol 44 (5) ◽  
pp. 291-305 ◽  
Author(s):  
Nadja Alt ◽  
Taylor Y. Zhang ◽  
Paul Motchnik ◽  
Ron Taticek ◽  
Valerie Quarmby ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document