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Stephan O. Krause, PhD
BioProcessing Summit, Boston MA
Strictly Confidential
18-19 August 2016
CPV Acceptance Criteria and Conditions
Outline
CPV/Commercial acceptance criteria - non-microbiological CQAs
– Control strategy development
– CPV conditions/rules
– “QA process”
CPV/Commercial acceptance criteria - microbiological CQAs
– Not presented here but available via ShareSlide
The content and views expressed by the author/presenter are not necessarily
the views of the organization he represents.
3
Typical CQA Development, CMC Changes, and Specifications
From: Krause, S., WCBP, 30Jan13, Washington, DC.
FTIH POC BLA
Tox Studies
Phase 1
Phase 2
Phase 3
Clinical Resupply
Mfg/Formulation Change(s)
Specifications
Revision(s)
Negotiations, Final
Commercial Specifications
QTPP
Final CQAs &
Control Strategy Approval
Potential CQAs
Product & Process
Design
Life-Cycle
Management
POST-APPROVAL
CHANGES
PHASE 3PHASE 1/2Pre-IND
CQADevelopment
(QbDProcess)
SpecsLifeCycle
Mgmt
CMCandTech
TransferProcess
Analytical
Manufacturing
Strategic or
Tactical Changes
Method
qualification
Dose
change
Delivery
Device
PQ lots
Setting of Initial
Specifications
Specifications
Revision(s)
Mfg
Transfer
Method
validation
Method
transfer
Formulation
Change
Process Verification
Method Maintenance
Global
Supply
Commercial
Specifications
Accelerated CQA Development, CMC Changes, and Specifications
4
FTIH POC BLA
Tox Studies
Phase 1
Phase 3
Clinical Resupply
Mfg/Formulation Change(s)
Specifications
Revision(s)
Commercial
Specifications
Negotiations, Final
Commercial Specifications
and/or Post-BLA
commitmens
QTPP
Final CQAs &
Control Strategy Approval
Potential CQAs
Product & Process
Design
Life-Cycle
Management
POST-APPROVAL
CHANGES
PIVOTAL PHASE (3)PHASE 1Pre-IND
CQADevelopment
(QbDProcess)
SpecsLifeCycle
Mgmt
CMCandTech
TransferProcess
Analytical
Manufacturing
Strategic or
Tactical Changes
Method
qualification
Dose
change
Delivery
Device
PQ
lots
Setting of Initial
Specifications
Mfg
Transfer
Method
validation
Method
transfer
Formulation
Change
Process Verification
Method Maintenance
Global
Supply
Method
Change
Accelerated Development
From: Krause, S., CaSSS CMC Strategy Forum, 27Jan14, Washington, DC.
Accelerated CQA Development, CMC Changes, and Specifications
5
From: Krause, S., CaSSS CMC Strategy Forum, 27Jan14, Washington, DC.
FTIH POC BLA
Tox Studies
Phase 1
Phase 3
Clinical Resupply
Mfg/Formulation Change(s)
Specifications
Revision(s)
Commercial
Specifications
QTPP
Final CQAs &
Control Strategy Approval
Potential CQAs
Product & Process
Design
Life-Cycle
Management
POST-APPROVAL
CHANGES
PIVOTAL PHASE (3)PHASE 1Pre-IND
CQADevelopment
(QbDProcess)
SpecsLifeCycle
Mgmt
CMCandTech
TransferProcess
Analytical
Manufacturing
Strategic or
Tactical Changes
Method
qualification
Dose
change
Delivery
Device
PQ
lots
Setting of Initial
Specifications
Mfg
Transfer
Method
validation
Method
transfer
Formulation
Change
Process Verification
Method Maintenance
Global
Supply
Method
Change
Accelerated Development
Comp
Lots
PQ lots
Comp
Lots=
6
Typical CQA Development, CMC Changes, and Specifications
From: Krause, S., WCBP, 30Jan13, Washington, DC.
FTIH POC BLA
Tox Studies
Phase 1
Phase 2
Phase 3
Clinical Resupply
Mfg/Formulation Change(s)
Specifications
Revision(s)
Negotiations, Final
Commercial Specifications
QTPP
Final CQAs &
Control Strategy Approval
Potential CQAs
Product & Process
Design
Life-Cycle
Management
POST-APPROVAL
CHANGES
PHASE 3PHASE 1/2Pre-IND
CQADevelopment
(QbDProcess)
SpecsLifeCycle
Mgmt
CMCandTech
TransferProcess
Analytical
Manufacturing
Strategic or
Tactical Changes
Method
qualification
Dose
change
Delivery
Device
PQ lots
Setting of Initial
Specifications
Specifications
Revision(s)
Mfg
Transfer
Method
validation
Method
transfer
Formulation
Change
Process Verification
Method Maintenance
Global
Supply
Commercial
Specifications
Formal CPV
S. Krause, PDA Annual Meeting - Las Vegas 17March15
CPV
CPV
CPV
CPV
QA Process
Risk Assessment Process During Product Development
Overall Risk Assessment
(ex., FMEA) Scoring
Severity Score
Probability
Score
Detectability
ScoreControl
Strategy
(p)CQA
(Prior to PV
Stage 2)
X
CQA
(at/after PV
Stage 2)
X
S. Krause, PDA Annual Meeting - Las Vegas 17March15
Assessing Product Quality and/or Process Consistency Impact
Critical Process Parameter (CPP): A process
parameter whose variability has an impact on a critical
quality attribute and therefore should be monitored or
controlled to ensure the process produces the desired
quality (ICH Q8 (R2))8.
Non-Critical Process Parameters are process
parameters whose variability has no practically
significant impact on critical quality attributes. Non-critical
process parameters fall into two categories, Key Process
Parameters and Non-Key Process Parameters.
Key Process Parameter (KPP): A non-critical process
parameter whose variability has a practically significant
impact on process performance or process consistency.
Non-Key Process Parameter (NKPP): A non-key
process parameter is a non-critical process (control)
parameter that has no practically significant impact on
process performance or process consistency.
Courtesy of Gisela Ferreira, MedImmune
Output
Measurement
Impact Type of Criterion / Limit
In-Process
Control (IPC)
Determinant of
product quality
Acceptance Criteria:
“Numerical limits, ranges, or
other suitable measures for
acceptance of the results of
analytical procedures which
the drug substance or drug
product or materials at other
stages of their manufacture
should meet.” (ICH Q6B9)
Performance
Attribute (PA)
Used to indicate
that the process
performed as
expected; may
include quality
measurements that
do not directly
determine final
product quality
Action Limit:
“An internal (in-house) value
used to assess the
consistency of the process at
less critical steps.” (ICH
Q6B9)
Assessing Product Quality and/or Process Consistency Impact
Courtesy of Gisela Ferreira, MedImmune
Considerations for CPV (Limits)
Data Transformation of Non-Normal Distributions
15
Original-scaled data
Log-scaled data
Data are not symmetric around center:
 mean and standard deviation not appropriate metrics.
Courtesy of Steven Novick, MedImmune
Considerations for CPV (Limits)
Data Transformation of Non-Normal Distributions
16
From: Mark DiMartino et al. on behalf of BioPhorum Operations Group, Responses to Signals from a Continued
Process Verification System in the Biopharmaceutical Industry (to be submitted to an Autumn 2016 edition of
theISPE Journal of Pharmaceutical Engineering).
Considerations for CPV (Limits)
Data Transformation of Non-Normal Distributions
17
How many lots before we move the center of CLs ?
From: Mark DiMartino et al. on behalf of BioPhorum Operations Group, Responses to Signals from a Continued
Process Verification System in the Biopharmaceutical Industry (to be submitted to an Autumn 2016 edition of
theISPE Journal of Pharmaceutical Engineering).
Understanding Campaign Differences and Batch Differences
Within a Campaign
A 95% upper confidence limit for a
standard deviation is K * s, where K is
given in the table and s = sample
standard deviation.
There is high uncertainty in the
estimate of campaign-to-campaign
variability when the data set contains
only two campaigns; the true standard
deviation might be 15.9x greater than
the existing data.
# of campaigns K
2 15.9
3 4.4
4 2.9
5 2.4
6 2.1
10 1.6
25 1.3
30 1.3
100 1.1
Example: Drug Substance
Specifications and CPV Limit(s)
SK 22Feb16
Time (years)
HPSEC
(%Monomer)
1 2 3 4
100.0%
98.5%
DS Release NLT 98.0%
Historical DS Release
(n=25)
DS EOSL NLT 97.0% (= DP Release)
99.5%
99.0%
98.0%
97.0%
Example: Drug Substance Specifications and CPV Limit(s)
Statistical Release Conditions
SK 22Feb16
HPSEC
(%Monomer)
100.0%
98.5%
DS Release NLT 98.0%
OOC Limit 99.2% (Stat: One-Sided 99.85% based on 3 SDs)
Future DS Release
Result (n=1)
DS EOSL NLT 97.0% (= DP Release)
99.5%
99.0%
98.0%
97.0%
Example: Drug Substance Specifications and CPV Limit(s)
“Practical” Alert/Action Conditions (based on non-stats DS
release specs)
SK 22Feb16
HPSEC
(%Monomer)
100.0%
98.5%
DS Release NLT 98.0%
Alert/Action Limit NMT 98.8%
Future DS Release
Result (n=1)
DS EOSL NLT 97.0% (= DP Release)
99.5%
99.0%
98.0%
97.0%
Example: Drug Substance Specifications and CPV Limit(s)
OOT Release Conditions for Sequential Batches
SK 22Feb16
HPSEC
(%Monomer)
100.0%
98.5%
DS Release NLT 98.0%
OOC Limit 99.2% (Stat: One-Sided 99.85% based on 3 SDs)
Future DS Release
Result (lot 31-32)
DS EOSL NLT 97.0% (= DP Release)
99.5%
99.0%
98.0%
97.0%
Alert/Action Limit NMT 98.8%
Future DS Release
Result (lot 31-37)
Example: Drug Substance Specifications and CPV Limit(s)
OOT Stability Conditions (OOT at 18M for 20-25ºC)
HPSEC
(%Monomer)
1 2 3 4
100.0%
98.5%
DS Release NLT 98.0%
DS EOSL NLT 97.0% (= DP Release)
99.5%
99.0%
98.0%
97.0%
OOT
?
Example: Drug Substance Specifications and CPV Limit(s)
OOT Stability Conditions (OOT for 2-8C at 18M)
Time (years)
HPSEC
(%Monomer)
1 2 3 4
100.0%
98.5%
DS EOSL NLT 97.0%
99.5%
99.0%
98.0%
97.0%
Avg of n=5 DS lots (R -EOSL = 0.5%)
OOT(R)
OOT(S)
OOS
Assay Variation +
Slope Uncertainty
(n=5 DS)
PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions
Comparability
CQA Result
“OOA”
CPP Result
“OOR”
KPP Result
“OOR”
NKPP Result
“OOR”
(Potential) Failed
Comparability
Study
Product Impact
No Product
Impact but
Process Impact
No Product and/
or Process Impact
CSD Approved
Discoverant CPV
Tool Available for
Real-Time
Monitoring
NC and CAPA
NC and CAPA
Event and
Possible CAPA
Event only
(Trended)
PPQ
Specification
“OOS”
(Potential)
Unacceptable
Product Quality
and Failed PPQ
Study
(Potential) Batch
Rejection/Recall
N=2 Sets of CQA Acceptance Criteria
(PPQ Specifications = PPQ Protocol Acceptance Criteria;
Comparability Protocol Acceptance Criteria)
N=3 Sets of Out-of-Range (OOR) Conditions
IncreasingSeverityofProcess/Product/QualityImpact
Biostats
report and JOS
final
PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions
PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions
PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions
PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions
Reference
CPV/Commercial acceptance criteria – microbiological
CQAs
– Risk assessment process
– Alert and action level examples
(Krause, S., “Alert, Action, and Specification Limits for Bioburden and Endotoxin”, PDA Annual
Meeting, 2015)
Confidentiality Notice
This file is private and may contain confidential and proprietary information. If you have received this file in error, please notify us and remove
it from your system and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the
contents of this file is not permitted and may be unlawful. AstraZeneca PLC, 1 Francis Crick Avenue, Cambridge Biomedical Campus,
Cambridge, CB2 0AA, UK, T: +44(0)203 749 5000, www.astrazeneca.com
31

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CPV Slides SK11Aug16 - Part 1 only

  • 1. Stephan O. Krause, PhD BioProcessing Summit, Boston MA Strictly Confidential 18-19 August 2016 CPV Acceptance Criteria and Conditions
  • 2. Outline CPV/Commercial acceptance criteria - non-microbiological CQAs – Control strategy development – CPV conditions/rules – “QA process” CPV/Commercial acceptance criteria - microbiological CQAs – Not presented here but available via ShareSlide The content and views expressed by the author/presenter are not necessarily the views of the organization he represents.
  • 3. 3 Typical CQA Development, CMC Changes, and Specifications From: Krause, S., WCBP, 30Jan13, Washington, DC. FTIH POC BLA Tox Studies Phase 1 Phase 2 Phase 3 Clinical Resupply Mfg/Formulation Change(s) Specifications Revision(s) Negotiations, Final Commercial Specifications QTPP Final CQAs & Control Strategy Approval Potential CQAs Product & Process Design Life-Cycle Management POST-APPROVAL CHANGES PHASE 3PHASE 1/2Pre-IND CQADevelopment (QbDProcess) SpecsLifeCycle Mgmt CMCandTech TransferProcess Analytical Manufacturing Strategic or Tactical Changes Method qualification Dose change Delivery Device PQ lots Setting of Initial Specifications Specifications Revision(s) Mfg Transfer Method validation Method transfer Formulation Change Process Verification Method Maintenance Global Supply Commercial Specifications
  • 4. Accelerated CQA Development, CMC Changes, and Specifications 4 FTIH POC BLA Tox Studies Phase 1 Phase 3 Clinical Resupply Mfg/Formulation Change(s) Specifications Revision(s) Commercial Specifications Negotiations, Final Commercial Specifications and/or Post-BLA commitmens QTPP Final CQAs & Control Strategy Approval Potential CQAs Product & Process Design Life-Cycle Management POST-APPROVAL CHANGES PIVOTAL PHASE (3)PHASE 1Pre-IND CQADevelopment (QbDProcess) SpecsLifeCycle Mgmt CMCandTech TransferProcess Analytical Manufacturing Strategic or Tactical Changes Method qualification Dose change Delivery Device PQ lots Setting of Initial Specifications Mfg Transfer Method validation Method transfer Formulation Change Process Verification Method Maintenance Global Supply Method Change Accelerated Development From: Krause, S., CaSSS CMC Strategy Forum, 27Jan14, Washington, DC.
  • 5. Accelerated CQA Development, CMC Changes, and Specifications 5 From: Krause, S., CaSSS CMC Strategy Forum, 27Jan14, Washington, DC. FTIH POC BLA Tox Studies Phase 1 Phase 3 Clinical Resupply Mfg/Formulation Change(s) Specifications Revision(s) Commercial Specifications QTPP Final CQAs & Control Strategy Approval Potential CQAs Product & Process Design Life-Cycle Management POST-APPROVAL CHANGES PIVOTAL PHASE (3)PHASE 1Pre-IND CQADevelopment (QbDProcess) SpecsLifeCycle Mgmt CMCandTech TransferProcess Analytical Manufacturing Strategic or Tactical Changes Method qualification Dose change Delivery Device PQ lots Setting of Initial Specifications Mfg Transfer Method validation Method transfer Formulation Change Process Verification Method Maintenance Global Supply Method Change Accelerated Development Comp Lots PQ lots Comp Lots=
  • 6. 6 Typical CQA Development, CMC Changes, and Specifications From: Krause, S., WCBP, 30Jan13, Washington, DC. FTIH POC BLA Tox Studies Phase 1 Phase 2 Phase 3 Clinical Resupply Mfg/Formulation Change(s) Specifications Revision(s) Negotiations, Final Commercial Specifications QTPP Final CQAs & Control Strategy Approval Potential CQAs Product & Process Design Life-Cycle Management POST-APPROVAL CHANGES PHASE 3PHASE 1/2Pre-IND CQADevelopment (QbDProcess) SpecsLifeCycle Mgmt CMCandTech TransferProcess Analytical Manufacturing Strategic or Tactical Changes Method qualification Dose change Delivery Device PQ lots Setting of Initial Specifications Specifications Revision(s) Mfg Transfer Method validation Method transfer Formulation Change Process Verification Method Maintenance Global Supply Commercial Specifications Formal CPV
  • 7. S. Krause, PDA Annual Meeting - Las Vegas 17March15
  • 8. CPV
  • 9. CPV
  • 10. CPV
  • 12. Risk Assessment Process During Product Development Overall Risk Assessment (ex., FMEA) Scoring Severity Score Probability Score Detectability ScoreControl Strategy (p)CQA (Prior to PV Stage 2) X CQA (at/after PV Stage 2) X S. Krause, PDA Annual Meeting - Las Vegas 17March15
  • 13. Assessing Product Quality and/or Process Consistency Impact Critical Process Parameter (CPP): A process parameter whose variability has an impact on a critical quality attribute and therefore should be monitored or controlled to ensure the process produces the desired quality (ICH Q8 (R2))8. Non-Critical Process Parameters are process parameters whose variability has no practically significant impact on critical quality attributes. Non-critical process parameters fall into two categories, Key Process Parameters and Non-Key Process Parameters. Key Process Parameter (KPP): A non-critical process parameter whose variability has a practically significant impact on process performance or process consistency. Non-Key Process Parameter (NKPP): A non-key process parameter is a non-critical process (control) parameter that has no practically significant impact on process performance or process consistency. Courtesy of Gisela Ferreira, MedImmune
  • 14. Output Measurement Impact Type of Criterion / Limit In-Process Control (IPC) Determinant of product quality Acceptance Criteria: “Numerical limits, ranges, or other suitable measures for acceptance of the results of analytical procedures which the drug substance or drug product or materials at other stages of their manufacture should meet.” (ICH Q6B9) Performance Attribute (PA) Used to indicate that the process performed as expected; may include quality measurements that do not directly determine final product quality Action Limit: “An internal (in-house) value used to assess the consistency of the process at less critical steps.” (ICH Q6B9) Assessing Product Quality and/or Process Consistency Impact Courtesy of Gisela Ferreira, MedImmune
  • 15. Considerations for CPV (Limits) Data Transformation of Non-Normal Distributions 15 Original-scaled data Log-scaled data Data are not symmetric around center:  mean and standard deviation not appropriate metrics. Courtesy of Steven Novick, MedImmune
  • 16. Considerations for CPV (Limits) Data Transformation of Non-Normal Distributions 16 From: Mark DiMartino et al. on behalf of BioPhorum Operations Group, Responses to Signals from a Continued Process Verification System in the Biopharmaceutical Industry (to be submitted to an Autumn 2016 edition of theISPE Journal of Pharmaceutical Engineering).
  • 17. Considerations for CPV (Limits) Data Transformation of Non-Normal Distributions 17 How many lots before we move the center of CLs ? From: Mark DiMartino et al. on behalf of BioPhorum Operations Group, Responses to Signals from a Continued Process Verification System in the Biopharmaceutical Industry (to be submitted to an Autumn 2016 edition of theISPE Journal of Pharmaceutical Engineering).
  • 18. Understanding Campaign Differences and Batch Differences Within a Campaign A 95% upper confidence limit for a standard deviation is K * s, where K is given in the table and s = sample standard deviation. There is high uncertainty in the estimate of campaign-to-campaign variability when the data set contains only two campaigns; the true standard deviation might be 15.9x greater than the existing data. # of campaigns K 2 15.9 3 4.4 4 2.9 5 2.4 6 2.1 10 1.6 25 1.3 30 1.3 100 1.1
  • 19. Example: Drug Substance Specifications and CPV Limit(s) SK 22Feb16 Time (years) HPSEC (%Monomer) 1 2 3 4 100.0% 98.5% DS Release NLT 98.0% Historical DS Release (n=25) DS EOSL NLT 97.0% (= DP Release) 99.5% 99.0% 98.0% 97.0%
  • 20. Example: Drug Substance Specifications and CPV Limit(s) Statistical Release Conditions SK 22Feb16 HPSEC (%Monomer) 100.0% 98.5% DS Release NLT 98.0% OOC Limit 99.2% (Stat: One-Sided 99.85% based on 3 SDs) Future DS Release Result (n=1) DS EOSL NLT 97.0% (= DP Release) 99.5% 99.0% 98.0% 97.0%
  • 21. Example: Drug Substance Specifications and CPV Limit(s) “Practical” Alert/Action Conditions (based on non-stats DS release specs) SK 22Feb16 HPSEC (%Monomer) 100.0% 98.5% DS Release NLT 98.0% Alert/Action Limit NMT 98.8% Future DS Release Result (n=1) DS EOSL NLT 97.0% (= DP Release) 99.5% 99.0% 98.0% 97.0%
  • 22. Example: Drug Substance Specifications and CPV Limit(s) OOT Release Conditions for Sequential Batches SK 22Feb16 HPSEC (%Monomer) 100.0% 98.5% DS Release NLT 98.0% OOC Limit 99.2% (Stat: One-Sided 99.85% based on 3 SDs) Future DS Release Result (lot 31-32) DS EOSL NLT 97.0% (= DP Release) 99.5% 99.0% 98.0% 97.0% Alert/Action Limit NMT 98.8% Future DS Release Result (lot 31-37)
  • 23. Example: Drug Substance Specifications and CPV Limit(s) OOT Stability Conditions (OOT at 18M for 20-25ºC) HPSEC (%Monomer) 1 2 3 4 100.0% 98.5% DS Release NLT 98.0% DS EOSL NLT 97.0% (= DP Release) 99.5% 99.0% 98.0% 97.0% OOT ?
  • 24. Example: Drug Substance Specifications and CPV Limit(s) OOT Stability Conditions (OOT for 2-8C at 18M) Time (years) HPSEC (%Monomer) 1 2 3 4 100.0% 98.5% DS EOSL NLT 97.0% 99.5% 99.0% 98.0% 97.0% Avg of n=5 DS lots (R -EOSL = 0.5%) OOT(R) OOT(S) OOS Assay Variation + Slope Uncertainty (n=5 DS)
  • 25. PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions Comparability CQA Result “OOA” CPP Result “OOR” KPP Result “OOR” NKPP Result “OOR” (Potential) Failed Comparability Study Product Impact No Product Impact but Process Impact No Product and/ or Process Impact CSD Approved Discoverant CPV Tool Available for Real-Time Monitoring NC and CAPA NC and CAPA Event and Possible CAPA Event only (Trended) PPQ Specification “OOS” (Potential) Unacceptable Product Quality and Failed PPQ Study (Potential) Batch Rejection/Recall N=2 Sets of CQA Acceptance Criteria (PPQ Specifications = PPQ Protocol Acceptance Criteria; Comparability Protocol Acceptance Criteria) N=3 Sets of Out-of-Range (OOR) Conditions IncreasingSeverityofProcess/Product/QualityImpact Biostats report and JOS final
  • 26. PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions
  • 27. PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions
  • 28. PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions
  • 29. PPQ Specifications, CPV Acceptance Criteria, and Non-Conformance Conditions
  • 30. Reference CPV/Commercial acceptance criteria – microbiological CQAs – Risk assessment process – Alert and action level examples (Krause, S., “Alert, Action, and Specification Limits for Bioburden and Endotoxin”, PDA Annual Meeting, 2015)
  • 31. Confidentiality Notice This file is private and may contain confidential and proprietary information. If you have received this file in error, please notify us and remove it from your system and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the contents of this file is not permitted and may be unlawful. AstraZeneca PLC, 1 Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge, CB2 0AA, UK, T: +44(0)203 749 5000, www.astrazeneca.com 31

Editor's Notes

  1. Graphied copied from http://www.biophorum.com/user_uploads/cpv%20case%20study%20-%20print%20version.pdf
  2. Graph copied from: Responses to Signals from a Continued Process Verification System in the Biopharmaceutical Industry
  3. Graph copied from: Responses to Signals from a Continued Process Verification System in the Biopharmaceutical Industry