Data-Driven Model Predictive Quality Control of Batch Processes

2018 ◽  
pp. 137-153
Author(s):  
Prashant Mhaskar ◽  
Abhinav Garg ◽  
Brandon Corbett
Keyword(s):  
Quality Control ◽  
Data Driven ◽  
Batch Processes ◽  
Predictive Quality

Data-driven model predictive quality control of batch processes

AIChE Journal ◽  
2013 ◽  
Vol 59 (8) ◽  
pp. 2852-2861 ◽  
Author(s):  
Siam Aumi ◽  
Brandon Corbett ◽  
Tracy Clarke-Pringle ◽  
Prashant Mhaskar
Keyword(s):  
Quality Control ◽  
Data Driven ◽  
Batch Processes ◽  
Predictive Quality

Data-Driven Modeling and Quality Control of Variable Duration Batch Processes with Discrete Inputs

2017 ◽  
Vol 56 (24) ◽  
pp. 6962-6980 ◽  
Author(s):  
Brandon Corbett ◽  
Prashant Mhaskar
Keyword(s):  
Quality Control ◽  
Data Driven ◽  
Batch Processes ◽  
Variable Duration ◽  
Data Driven Modeling

Subspace identification for data-driven modeling and quality control of batch processes

AIChE Journal ◽  
2016 ◽  
Vol 62 (5) ◽  
pp. 1581-1601 ◽  
Author(s):  
Brandon Corbett ◽  
Prashant Mhaskar
Keyword(s):  
Quality Control ◽  
Data Driven ◽  
Batch Processes ◽  
Subspace Identification ◽  
Data Driven Modeling

Model predictive quality control of batch processes

2012 ◽  
Author(s):  
S. Aumi ◽  
B. Corbett ◽  
P. Mhaskar
Keyword(s):  
Quality Control ◽  
Batch Processes ◽  
Predictive Quality

scholarly journals COVID-19 Brings Data Equity Challenges to the Fore

2021 ◽  
Author(s):  
H.V. Jagadish ◽  
Julia Stoyanovich ◽  
Bill Howe
Keyword(s):  
Quality Control ◽  
Government Policy ◽  
Data Driven ◽  
Contact Tracing ◽  
Control Mechanisms ◽  
Sources Of Information ◽  
Decision Systems ◽  
Physical Resources ◽  
Multiple Levels ◽  
Data Driven Decisions

The COVID-19 pandemic is compelling us to make crucial data-driven decisions quickly, bringing together diverse and unreliable sources of information without the usual quality control mechanisms we may employ. These decisions are consequential at multiple levels: they can inform local, state and national government policy, be used to schedule access to physical resources such as elevators and workspaces within an organization, and inform contact tracing and quarantine actions for individuals. In all these cases, significant inequities are likely to arise, and to be propagated and reinforced by data-driven decision systems. In this article, we propose a framework, called FIDES, for surfacing and reasoning about data equity in these systems.

Data Driven Modelling and Control of Batch Processes in the Pharmaceutical Industry

2012 ◽  
Vol 45 (15) ◽  
pp. 708-714 ◽  
Author(s):  
Jose E. Tabora
Keyword(s):  
Pharmaceutical Industry ◽  
Data Driven ◽  
Batch Processes ◽  
And Control

A Data-Driven Method for Paint Curing Quality Control in Automotive Industry

2021 ◽  
Author(s):  
Gokalp Ayaz ◽  
Ugur Uresin
Keyword(s):  
Quality Control ◽  
Automotive Industry ◽  
Data Driven
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