IBC Asia SPC presentation Mayank_Ver4
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Transcript of IBC Asia SPC presentation Mayank_Ver4
![Page 1: IBC Asia SPC presentation Mayank_Ver4](https://reader031.fdocuments.in/reader031/viewer/2022030315/58828f2a1a28abca6d8b622f/html5/thumbnails/1.jpg)
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Modeling and Process Control Strategies for Efficient
Manufacturing
IBC Asia BioProcess & Technology Summit 2015 28-29 October, Singapore
Mayank GargShantha Biotechnics Private Limited (A Sanofi Company)
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Presentation snapshot
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● Statistical Process Control (SPC) within Quality by Design (QbD) framework
● Driver for SPC
● SPC and beyond
● Univariate and Multivariate SPC
● Process Characterization post commercialization
● Cost-benefit analysis of Real-time SPC/PAT
![Page 3: IBC Asia SPC presentation Mayank_Ver4](https://reader031.fdocuments.in/reader031/viewer/2022030315/58828f2a1a28abca6d8b622f/html5/thumbnails/3.jpg)
SPC within QbD framework
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization● Cost-benefit analysis of Real-time SPC/PAT
Product Design
Process Design
Continuous Improveme
ntProcess
Monitoring/ Control strategy
CQA
CpK
Design Space(V1)
Design Space(V2)
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Critical Process Parameters
Critical Raw MaterialsRaw Materials
Process Parameters
Driver for SPC
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
x
y
z
Key Performance Indicator
Input Output
Current ObjectiveSPC
CQA
CpK <1 CpK >1
Significant effect of input on CQA
Strong relationship of output parameters on CQA
● Cost-benefit analysis of Real-time SPC/PAT
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
W A ShewhartUnivariate Control charts1920s
Multivariate Control chartsH. Hotelling
Principal Component Analysis (PCA)H. Hotelling
CUSUM & EWMA chartsE.S. Page and Roberts
Partial Least Square (PLS)H. Wold
2004 Process Analytical Technology (PAT)
1930s
1940s
1950s
1970s
FDA
• DOE• Process Analyzer• Data Analysis• Process Monitoring• Process Controllers• Knowledge/Risk Management• Continuous Improvement
SPC and beyondMajor Milestones
● Cost-benefit analysis of Real-time SPC/PAT
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
Univariate to MultivariateOut of Control
Univariate
● Cost-benefit analysis of Real-time SPC/PAT
1σ
1σ
2σ
2σ
3σ
3σ
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CUSUM plot
CUSUM plot
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
Univariate
Univariate to MultivariateOut of Control
● Cost-benefit analysis of Real-time SPC/PAT
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
Bivariate
Multivariate
Univariate<<<<
Score plot
Univariate to MultivariateOut of Control
● Cost-benefit analysis of Real-time SPC/PAT
![Page 9: IBC Asia SPC presentation Mayank_Ver4](https://reader031.fdocuments.in/reader031/viewer/2022030315/58828f2a1a28abca6d8b622f/html5/thumbnails/9.jpg)
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
Variables
Age
Batche
s
Process Data
Univariate to MultivariateOut of Control
Univariate Data Online Data Profile Data Analytical Data
● Cost-benefit analysis of Real-time SPC/PAT
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Process CharacterizationPost Commercial Launch
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
Process Data Acquisition Data Modeling
Process control
Improvement
Trials/DOELiterature
Deviation/FailureInvestigations
Com
mer
cial
Sca
le
Lab/Pilot Scale
Multi-stage approach
● Cost-benefit analysis of Real-time SPC/PAT
Relationship of Input parameters with CQAs
Relationship of Output parameters with CQAs
Relationship of KPIs with Input parameters
Stage 1
Stage 2Stage 3
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Process CharacterizationPost Commercial Launch
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
Identification of CPPs
Severity(Statistical Modeling)
y
n
Occurrence(Screening analysis)
Univariate CpK (against spec)
Multivariate One-time (against golden batch/control limits)
Multivariate Time-series (against golden batch/control limits)
Multivariate regression models (relationship of Selected PPs with CQAs)
Con
trol S
trate
gy
Design Space
! It is preferred to study Multiple steps at once
Stage 1
Experience(DOE + Literature)
Input variables
● Cost-benefit analysis of Real-time SPC/PAT
DOE CPPs
Relationship of PPs with CQAs
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Process CharacterizationPost Commercial Launch
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
Severity(Statistical Modeling)
y
n
Occurrence(Screening analysis)
Univariate CpK/OOT (against spec/control limits)Multivariate One-time
(against golden batch/control limits)Multivariate Time-series
(against golden batch/control limits)
Multivariate regression models (relationship of Selected PIs with CQAs)
Stage 2
● Cost-benefit analysis of Real-time SPC/PAT
Identification of KPIs
! It is preferred to study Multiple steps at once
Relationship of Output with CQAs
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Process CharacterizationPost Commercial Launch
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
y
n
Stage 3
Severity(Mechanistic + MV Statistical modeling)
Mechanistic and MV predictive models (relationship of Selected PPs with KPIs)
● Cost-benefit analysis of Real-time SPC/PAT
Identification of CPPs
! It is preferred to study Individual steps
Design Space
DOE
CPPs
Relationship of KPIs with PPs
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Process CharacterizationPost Commercial Launch
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate to Multivariate SPC● Process Characterization post commercialization
y
n
Feed back to the controller
Real-time Analyzers for KPIs(Direct or surrogate analytical
methods)
Feedback loop with Actuator
● Cost-benefit analysis of Real-time SPC/PAT
Identification of CPPs
Severity(Mechanistic + MV Statistical modeling)
Mechanistic and MV predictive models (relationship of Selected PPs with KPIs)
Design Space
DOE
CPPs
Stage 3 Relationship of KPIs with PPs
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate and Multivariate SPC● Process Characterization post commercialization● Cost benefit analysis of Real-time SPC/PAT
Cost benefit analysisCapital Investment
Process AnalyzersNIR,IR, FTIR, NMR, MS, LCMS, GC etc
Data Acquisition/AggregationSCADA, PI System, LIMS, Middleware, Historian Server, etc
Data Analysis/VisualizationSIMCA, JMP, ProcessPad, PI Procesbook, etc
Process Controller/AutomationFeedback control loops, Control valve actuators, etc
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● SPC within Quality by Design (QbD) framework● Driver for SPC● SPC and beyond● Univariate and Multivariate SPC● Process Characterization post commercialization● Cost benefit analysis of Real-time SPC/PAT
Cost benefit analysisAdvantages
• Lower failure rate• Higher productivity• Improved robustness• Lower FTEs• Cycle time reduction• Higher plant efficiency• Improved Product Quality• Quicker investigations• Lower QC testing• Higher Regulatory acceptability
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Thank you