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Quality by Design
Course Name : Quality by Design
Version : INVL_QBD_CW_01_1.0
Course ID :QMGT- 168
2
About Invensis Learning
Invensis Learning is a pioneer in providing globally-recognized certification training courses for
individuals and enterprises worldwide. Our training methodology coupled with high-quality courseware
has enabled organizations to achieve high-impact learning with increased knowledge, competence, and
performance. We offer courses in various categories such as IT Service Management, Project
Management, IT Security and Governance, Quality Management, Agile Project Management, DevOps,
and Cloud Courses. Invensis Learning certification training programs adhere to global standards such as
PMI, TUV SUD, AXELOS, ISACA, DevOps Institute, EXIN, and PEOPLECERT.
3
What We Offer
We offer globally-recognized training and certifications in categories such as Project Management,
ITSM, Agile, Quality Management, Technology Training, Program Management and IT Security &
Governance.
ITSM Project Management Quality Management Technology Training Agile & Scrum IT Security & Governance
ITIL Foundation PMP Project Rescue Six Sigma Yellow Belt Training Cloud Computing PMI-ACP COBIT5 Foundation
ITIL SD CAPM Project Scope Management Six Sigma Green Belt Training Big Data Scrum Training COBIT5 Implementation
ITIL SS PRINCE2 Project Time Management Six Sigma Black Belt Training Hadoop
DevOps
Foundation
COBIT5 Assessor
ITIL ST PgMP
Project Communications and Stakeholder
Management
Lean Six Sigma Green Belt Training .Net Technologies ISO/IEC 27001 Foundation
ITIL SO PMI-RMP Project Cost Management Lean Six Sigma Black Belt Training Data Warehousing
ITIL CSI P3O Project Procurement Management Introduction to Lean Training CISSP
ITIL RCV MSP Project Leadership Lean Fundamentals Program VC++, MCF
ITIL OSA Microsoft Project Change Management Lean Management Training Advanced WCF, WPF
ITIL SOA Microsoft Project Server Implementing a Project Management Office Lean Manufacturing Training Advanced JAVA
ITIL PPO IT Project Management Managing Conflict in the Workplace Lean Processes and Tools Advanced J2EE
ITIL MALC
Project Management
Fundamentals - Overview
Negotiating in a Project Environment
Lean Six Sigma in Information
Technology
ISO 20000 Project Initiation Presentation Skills for Project Personnel Lean Six Sigma in Healthcare
Earned Value Management Project Estimating Techniques DFSS Yellow Belt Training
Project Risk Management Managing Multiple Projects DFSS Green Belt Training
Project Sponsorship DFSS Black Belt Training
Team Development MINITAB Training
4
“Live as if you were to die tomorrow. Learn as if you
were to live forever.”
- Mahatma Gandhi
5
Agenda
 Introduction
 Some history and scene setting
 Relationship of QbD to ICH guidelines
 Overview and definition of QbD
 Design space
 Control strategy
6
Quality by Design – The Origins
Quality by Design – coined by J M Juran (1904-2008)
- pioneer and evangelist for quality management techniques.
The Juran Trilogy - Quality Planning
- Quality Control
- Quality Improvement
Statistical approach owes more to
W Edwards Deming (and others)
“Cease dependence on inspection to achieve
quality. Build quality into the product in the first
place.”
“There is no substitute for knowledge."
"Experience by itself teaches nothing."
7
History
 QbD techniques were adopted in many industries from
 1970’s onwards, particularly automotive and electronics.
 Quality planning principles are enshrined in the ISO9001 and ISO13485 for design and
manufacturing processes.
 Recent usage of the term stems from adoption by FDA for modernisation of review and approval
process pharmaceutical and biotechnology products.
 ICH*– developed a new set of guidelines for pharmaceutical development
*ICH = International Conference on Harmonisation of Technical Requirements for Registration of
Pharmaceuticals for Human Use
8
ICH Guidelines
The ICH Vision as Described in Guidelines
A New Quality Paradigm
 Science and risk-based approaches to pharmaceutical product development, dossier submission,
review, inspection and post-approval change management
 Manufacturers empowered to effect continuous improvement and technical innovation throughout
the product lifecycle
 Efficient and consistent regulatory oversight across/between regions
9
Q. Where should QbD be applied?
A. To all elements of a drug or biotechnology product
Pharmaceutical
Product
Formulation Device components
Container
Closure
System
Drug
Delivery
System
Drug
Substance
Excipientsform
Supply chain
10
ICH Guideline Q8 defines QbD as…
A systematic approach to development that begins with predefined objectives &
emphasizes product and process understanding and process
control, based on sound science & quality risk management
..and Quality as the degree to which properties of a product,
system or process fulfil requirements
7
11
What is QbD?
Quality by Design is….
 A scientific, risk based proactive approach to pharmaceutical product development
 A deliberate and structured design effort from first stages of conception and innovation through the
full product life cycle
 A complete understanding of how product attributes and process parameters relate to product
performance.
12
Product development – definitions
General approach Quality Target Product Profile
-
-
-
-
Use and market related target requirements
Related to safety and efficacy
Intended use, dosage form, dosage strength
Quality criteria - sterility, purity, stability, etc.
Critical Quality Attribute
-
-
Physical, chemical, biological property
Should be within a defined range to ensure
product quality
Related to materials, intermediates, final
product.
-
Critical Process Parameter
- Parameter whose variability has an impact
on a CQA
- Should therefore be monitored or controlled
9
Define control
strategy
Define CPP of
manufacturing
process
Identify CQA -
components
Identify CQA -
product
Define QTPP
13
Product development – minimum and QbD approach
“Quality by Design”
Systematically understand
and refine the product and
process
Risk assessment
Knowledge
Experimen
t
Minimalist approach
Quality target
product profile
Identify material attributes and
process parameters that affect
CQAs and the functional
relationships between them
Establish control strategy
e.g. design space
e.g. real-time release testing
Critical quality
attributes
Critical process
parameters
Continual improvement
Reduced variability
Innovation
Define control
strategy
Define CPP of
manufacturing
process
Identify CQA -
components
Identify CQA -
product
Define QTPP
14
Stage-gated device design processes
Risk management Usability evaluation
LaunchStage 4:
Detailed
design &
output
creation
Stage 7:
Scale up &
transfer to
manufacture
Stage 1:
Requirements
definition &
capture
Stage 2:
Concept
creation &
selection
Stage 3:
Design
input
definition
Stage 5:
Design
verification
Stage 6:
Design
validation
Produce
First
tooling
Launch
Late stage
development
Early stage
development
Full
development
Discovery
Produce
Pre-clinical evaluation Phase 3 clinical evaluation
15
Medical device stage gated device design process
Systematic analysis
& experimentation
Risk management
Usability evaluation
Launch
Stage 4:
Detailed
design &
output
creation
Stage 7:
Scale up &
transfer to
manufacture
Stage 1:
Requirements
definition &
capture
Stage 2:
Concept
creation &
selection
Stage 3:
Design
input
definition
Stage 5:
Design
verification
Stage 6:
Design
validation
Produce
First
tooling
Design
verification
Process
validation
Design
transfer
Design
planning
Design
inputs
Design
outputs
Design
validation
Change
control
Design space definition Control
strategy
QTPP CQA CPP? CPP
Systematic analysis &
experimentation
Experience gained in
production
Prior knowledge
16
Design space
ICH 8 defines design space as:
The multidimensional combination and interaction of input
variables and process parameters that have been demonstrated to
provide assurance of quality.
For example:
Scientific investigation
– Experience?
- Design of experiment?
- Analytical model?
- Process validation?
Injection
moulded
medical
device
Knowledge
of design
space
Assembly process
Injection mould
process
Mould tools
Component drawings
(with tolerances)
Polymer specifications
17
Design Space
Comments on Design Space
 Can a Design Space ever be complete?
 - Yes, if all parameters with a potential effect are investigated in all combinations.
In other words – Not really.
 - Risk management is needed to ensure itsrobustness of the Design Space
 Design Space does not need to go to the edge of failure – useful to know, but not mandatory
 Set of proven acceptable ranges is not a Design Space
 Design space should be verified at each scale of manufacture.
18
Steps in development of a process Design Space
- Internal knowledge from
similar products and processes
External knowledge – peer
reviewed publications, etc.
Define QTPP
-
Define CQA
Use prior knowledge
to understand
variables and their
impact
Process risk
- Modelling may be OK, but
needs full verification and
justification
- Based on knowledge plus
additional tests where
needed
Iterative as experience is
gained.
assessment to
identify CPPs
-
Conduct and
evaluate DoE to
establish CPP/CQA
relationshipsRepeat as
necessary
19
Analysis of variation
Can we analyse the relative contributions of the identified CPP and CQA to variability or failure of
the device?
Theoretical
 Tolerance analysis
 Sensitivity analysis
 Theoretical modelling of mechanisms
 Finite element analysis
Experimental
 Single factor experiments
 Designed experiments for multi-factor analysis
 Validation/ verification studies
Design
space
20
Control strategy
Control strategy
 Needs to ensure that required quality is produced consistently
and is assured by combination of:
 In-process control and measurements
 Upstream process controls
 Input material controls
 Must be based on understanding of CPPs and the impact of
variability.
 Can enable adaptive process steps that vary according to input
materials.
 Can ultimately lead to real time release testing.
Control strategy
21
Summary
 QbD is recommended for 21st century pharmaceutical development – and by extension to Container
Closure Systems
 QbD has less impact on MedTech product development processes since the requirements are close
to good design and manufacturing practices.
 QbD requires profound understanding of effects of, and interactions between, materials, products
and process parameters.
 QbD leads to a more flexible manufacturing environment, responsive to upstream variability
 CCS and drug delivery system component suppliers need to prepare to share information with
pharmaceutical clients.
22
CONTACT INVENSIS LEARNING
Email Us:
© Copyright 2019 Invensis Learning. Invensis®
is a registered trademark of Invensis Technologies Pvt Ltd.
www.invensislearning.com
support@invensislearning.com
USA +1-910-726-3695 | IND +91-96-2020-0784
UK +44 2033-223-280 | Germany +49 2119-5987-989
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Quality by Design Course Preview

  • 1. Quality by Design Course Name : Quality by Design Version : INVL_QBD_CW_01_1.0 Course ID :QMGT- 168
  • 2. 2 About Invensis Learning Invensis Learning is a pioneer in providing globally-recognized certification training courses for individuals and enterprises worldwide. Our training methodology coupled with high-quality courseware has enabled organizations to achieve high-impact learning with increased knowledge, competence, and performance. We offer courses in various categories such as IT Service Management, Project Management, IT Security and Governance, Quality Management, Agile Project Management, DevOps, and Cloud Courses. Invensis Learning certification training programs adhere to global standards such as PMI, TUV SUD, AXELOS, ISACA, DevOps Institute, EXIN, and PEOPLECERT.
  • 3. 3 What We Offer We offer globally-recognized training and certifications in categories such as Project Management, ITSM, Agile, Quality Management, Technology Training, Program Management and IT Security & Governance. ITSM Project Management Quality Management Technology Training Agile & Scrum IT Security & Governance ITIL Foundation PMP Project Rescue Six Sigma Yellow Belt Training Cloud Computing PMI-ACP COBIT5 Foundation ITIL SD CAPM Project Scope Management Six Sigma Green Belt Training Big Data Scrum Training COBIT5 Implementation ITIL SS PRINCE2 Project Time Management Six Sigma Black Belt Training Hadoop DevOps Foundation COBIT5 Assessor ITIL ST PgMP Project Communications and Stakeholder Management Lean Six Sigma Green Belt Training .Net Technologies ISO/IEC 27001 Foundation ITIL SO PMI-RMP Project Cost Management Lean Six Sigma Black Belt Training Data Warehousing ITIL CSI P3O Project Procurement Management Introduction to Lean Training CISSP ITIL RCV MSP Project Leadership Lean Fundamentals Program VC++, MCF ITIL OSA Microsoft Project Change Management Lean Management Training Advanced WCF, WPF ITIL SOA Microsoft Project Server Implementing a Project Management Office Lean Manufacturing Training Advanced JAVA ITIL PPO IT Project Management Managing Conflict in the Workplace Lean Processes and Tools Advanced J2EE ITIL MALC Project Management Fundamentals - Overview Negotiating in a Project Environment Lean Six Sigma in Information Technology ISO 20000 Project Initiation Presentation Skills for Project Personnel Lean Six Sigma in Healthcare Earned Value Management Project Estimating Techniques DFSS Yellow Belt Training Project Risk Management Managing Multiple Projects DFSS Green Belt Training Project Sponsorship DFSS Black Belt Training Team Development MINITAB Training
  • 4. 4 “Live as if you were to die tomorrow. Learn as if you were to live forever.” - Mahatma Gandhi
  • 5. 5 Agenda  Introduction  Some history and scene setting  Relationship of QbD to ICH guidelines  Overview and definition of QbD  Design space  Control strategy
  • 6. 6 Quality by Design – The Origins Quality by Design – coined by J M Juran (1904-2008) - pioneer and evangelist for quality management techniques. The Juran Trilogy - Quality Planning - Quality Control - Quality Improvement Statistical approach owes more to W Edwards Deming (and others) “Cease dependence on inspection to achieve quality. Build quality into the product in the first place.” “There is no substitute for knowledge." "Experience by itself teaches nothing."
  • 7. 7 History  QbD techniques were adopted in many industries from  1970’s onwards, particularly automotive and electronics.  Quality planning principles are enshrined in the ISO9001 and ISO13485 for design and manufacturing processes.  Recent usage of the term stems from adoption by FDA for modernisation of review and approval process pharmaceutical and biotechnology products.  ICH*– developed a new set of guidelines for pharmaceutical development *ICH = International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use
  • 8. 8 ICH Guidelines The ICH Vision as Described in Guidelines A New Quality Paradigm  Science and risk-based approaches to pharmaceutical product development, dossier submission, review, inspection and post-approval change management  Manufacturers empowered to effect continuous improvement and technical innovation throughout the product lifecycle  Efficient and consistent regulatory oversight across/between regions
  • 9. 9 Q. Where should QbD be applied? A. To all elements of a drug or biotechnology product Pharmaceutical Product Formulation Device components Container Closure System Drug Delivery System Drug Substance Excipientsform Supply chain
  • 10. 10 ICH Guideline Q8 defines QbD as… A systematic approach to development that begins with predefined objectives & emphasizes product and process understanding and process control, based on sound science & quality risk management ..and Quality as the degree to which properties of a product, system or process fulfil requirements 7
  • 11. 11 What is QbD? Quality by Design is….  A scientific, risk based proactive approach to pharmaceutical product development  A deliberate and structured design effort from first stages of conception and innovation through the full product life cycle  A complete understanding of how product attributes and process parameters relate to product performance.
  • 12. 12 Product development – definitions General approach Quality Target Product Profile - - - - Use and market related target requirements Related to safety and efficacy Intended use, dosage form, dosage strength Quality criteria - sterility, purity, stability, etc. Critical Quality Attribute - - Physical, chemical, biological property Should be within a defined range to ensure product quality Related to materials, intermediates, final product. - Critical Process Parameter - Parameter whose variability has an impact on a CQA - Should therefore be monitored or controlled 9 Define control strategy Define CPP of manufacturing process Identify CQA - components Identify CQA - product Define QTPP
  • 13. 13 Product development – minimum and QbD approach “Quality by Design” Systematically understand and refine the product and process Risk assessment Knowledge Experimen t Minimalist approach Quality target product profile Identify material attributes and process parameters that affect CQAs and the functional relationships between them Establish control strategy e.g. design space e.g. real-time release testing Critical quality attributes Critical process parameters Continual improvement Reduced variability Innovation Define control strategy Define CPP of manufacturing process Identify CQA - components Identify CQA - product Define QTPP
  • 14. 14 Stage-gated device design processes Risk management Usability evaluation LaunchStage 4: Detailed design & output creation Stage 7: Scale up & transfer to manufacture Stage 1: Requirements definition & capture Stage 2: Concept creation & selection Stage 3: Design input definition Stage 5: Design verification Stage 6: Design validation Produce First tooling Launch Late stage development Early stage development Full development Discovery Produce Pre-clinical evaluation Phase 3 clinical evaluation
  • 15. 15 Medical device stage gated device design process Systematic analysis & experimentation Risk management Usability evaluation Launch Stage 4: Detailed design & output creation Stage 7: Scale up & transfer to manufacture Stage 1: Requirements definition & capture Stage 2: Concept creation & selection Stage 3: Design input definition Stage 5: Design verification Stage 6: Design validation Produce First tooling Design verification Process validation Design transfer Design planning Design inputs Design outputs Design validation Change control Design space definition Control strategy QTPP CQA CPP? CPP Systematic analysis & experimentation Experience gained in production Prior knowledge
  • 16. 16 Design space ICH 8 defines design space as: The multidimensional combination and interaction of input variables and process parameters that have been demonstrated to provide assurance of quality. For example: Scientific investigation – Experience? - Design of experiment? - Analytical model? - Process validation? Injection moulded medical device Knowledge of design space Assembly process Injection mould process Mould tools Component drawings (with tolerances) Polymer specifications
  • 17. 17 Design Space Comments on Design Space  Can a Design Space ever be complete?  - Yes, if all parameters with a potential effect are investigated in all combinations. In other words – Not really.  - Risk management is needed to ensure itsrobustness of the Design Space  Design Space does not need to go to the edge of failure – useful to know, but not mandatory  Set of proven acceptable ranges is not a Design Space  Design space should be verified at each scale of manufacture.
  • 18. 18 Steps in development of a process Design Space - Internal knowledge from similar products and processes External knowledge – peer reviewed publications, etc. Define QTPP - Define CQA Use prior knowledge to understand variables and their impact Process risk - Modelling may be OK, but needs full verification and justification - Based on knowledge plus additional tests where needed Iterative as experience is gained. assessment to identify CPPs - Conduct and evaluate DoE to establish CPP/CQA relationshipsRepeat as necessary
  • 19. 19 Analysis of variation Can we analyse the relative contributions of the identified CPP and CQA to variability or failure of the device? Theoretical  Tolerance analysis  Sensitivity analysis  Theoretical modelling of mechanisms  Finite element analysis Experimental  Single factor experiments  Designed experiments for multi-factor analysis  Validation/ verification studies Design space
  • 20. 20 Control strategy Control strategy  Needs to ensure that required quality is produced consistently and is assured by combination of:  In-process control and measurements  Upstream process controls  Input material controls  Must be based on understanding of CPPs and the impact of variability.  Can enable adaptive process steps that vary according to input materials.  Can ultimately lead to real time release testing. Control strategy
  • 21. 21 Summary  QbD is recommended for 21st century pharmaceutical development – and by extension to Container Closure Systems  QbD has less impact on MedTech product development processes since the requirements are close to good design and manufacturing practices.  QbD requires profound understanding of effects of, and interactions between, materials, products and process parameters.  QbD leads to a more flexible manufacturing environment, responsive to upstream variability  CCS and drug delivery system component suppliers need to prepare to share information with pharmaceutical clients.
  • 22. 22 CONTACT INVENSIS LEARNING Email Us: © Copyright 2019 Invensis Learning. Invensis® is a registered trademark of Invensis Technologies Pvt Ltd. www.invensislearning.com support@invensislearning.com USA +1-910-726-3695 | IND +91-96-2020-0784 UK +44 2033-223-280 | Germany +49 2119-5987-989 Switzerland +41-22-518-2042 | Hong Kong +852-5803-9039