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QUALITY BY DESIGN and PROCESS VALIDATION 11/26/2018 1

QUALITY BY DESIGN and PROCESS VALIDATION

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Page 1: QUALITY BY DESIGN and PROCESS VALIDATION

QUALITY BY DESIGN

and

PROCESS VALIDATION

11/26/2018 1

Page 2: QUALITY BY DESIGN and PROCESS VALIDATION

11/26/2018 2

Page 3: QUALITY BY DESIGN and PROCESS VALIDATION

Current Approach – Quality By Testing

Finished

ProductManufacture

Excipients

and API

ExcipientPass / Fail

Specification

APIPass / Fail

Specification In Process TestingPass / Fail

Specification

QC TestingPass / Fail

Specification

• Acceptance criteria set on limited data eg 1 batch.

• Testing must be performed for batch to be released.

• Failing batch only investigated at end of process

311/26/2018

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Current Focus of VALIDATION

• One off exercise, very little consideration on how the method will work in the

“real world”, operational conditions.

• Does it look good on paper – works for three batches so all ok?

• Robustness of documentation, not method

• No consideration of who will use method, what equipment, technology

advances.

Current Focus of TRANSFER

• One off exercise, usually seen as an exercise that gets in the way of the real

work.

• No transfer of method knowledge.

• Usually performed by most competent analyst – no consideration of day to day

use.

Current Practise for Method Validation and Transfer

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Page 5: QUALITY BY DESIGN and PROCESS VALIDATION

Process validation / transfer hasn’t worked and everyone is

surprised!!

• Root cause is usually found to be insufficient consideration of

the routine operating environment of the method during the

process validation exercise and the lack of a process to

capture and transfer method knowledge.

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Quality by Design (QbD) is

a concept first outlined by well-known quality expert Joseph M. Juran• He said quality can be planned and that most problems related to the way

that quality was planned (or not!) in the first place.• Quality cannot be tested into products – it has to be built by design.

who believed that quality could be planned, and that most quality crises and

problems relate to the way in which quality was planned in the first place.

◦ Based on FTR Philosophy

◦ Proactive & risk based approach for predictable & predefined quality

◦ Planning quality into the product and process

◦ A leading indicator for better controls & to handle quality crises and

problems early in the cycle

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Page 7: QUALITY BY DESIGN and PROCESS VALIDATION

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PART I: PHARMACEUTICAL DEVELOPMENT

1. INTRODUCTION

1.1 Objective of the Guideline

1.2 Scope

2. PHARMACEUTICAL DEVELOPMENT

2.1 Components of the Drug Product

2.1.1 Drug Substance

2.1.2 Excipients

2.2 Drug Product

2.2.1 Formulation Development

2.2.2 Overages

2.2.3 Physicochemical and Biological Properties

2.3 Manufacturing Process Development

2.4 Container Closure System

2.5 Microbiological Attributes

2.6 Compatibility

3. GLOSSARY

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Page 9: QUALITY BY DESIGN and PROCESS VALIDATION

PART II: ANNEX TO PHARMACEUTICAL DEVELOPMENT

1. INTRODUCTION

2. ELEMENTS OF PHARMACEUTICAL DEVELOPMENT

2.1 Quality Target Product Profile

2.2 Critical Quality Attributes

2.3 Risk Assessment: Linking Material Attributes and Process Parameters to Drug Product

CQAs

2.4 Design Space

2.4.1 Selection of Variables

2.4.2 Describing a Design Space in a Submission

2.4.3 Unit Operation Design Space(s)

2.4.4 Relationship of Design Space to Scale and Equipment

2.4.5 Design Space Versus Proven Acceptable Ranges

2.4.6 Design Space and Edge of Failure

2.5 Control Strategy

2.6 Product Lifecycle Management and Continual Improvement

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3. SUBMISSION OF PHARMACEUTICAL DEVELOPMENT AND RELATED INFORMATION IN COMMON TECHNICAL DOCUMENTS (CTD)

FORMAT

3.1 Quality Risk Management and Product and Process Development

3.2 Design Space3.3 Control Strategy 3.4 Drug Substance Related Information

4. GLOSSARY

Appendix 1. Differing Approaches to Pharmaceutical Development

Appendix 2. Illustrative Examples

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▪ Released in Jan 2011.

▪ This guidance incorporated

o QbD,

o Process Analytical Technology(PAT),

o Risk management and

o the Concept of life cycle approach to process validation.

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❑ Stage 1 - Process Design

◦ Design and development

Quality Target Product Profile (QTPP)

Critical Quality Attribute (CQA)

Formulation and process development – Majority of process

a) Active Pharmaceutical Ingredient (API

b) Formulation development:

c) Process development

d) Design space:

◦ Establishing a Strategy for Process Control

❑ Stage 2 – Process Qualification

◦ Design of the facility and qualification of the facilities, system, equipment and

utilities and

◦ Process Performance Qualification(PPQ).

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❑ Stage 3 – Continued Process Verificationo To provide continual assurance that the process remains in a state of control during routine

commercial production.

o Quality system to monitor process data, to detect any undesirable process variability and the

necessary actions should be established.

o Data collected include process trend and quality material, inprocess material and finished product.

o The use of modern statistical software which enable literally instantaneous evaluation of data such

as control charting and process capability indicators is recommended.

o These data should be statistically trended and reviewed periodically by statistician to confirm the

validated state.

o It is recommended to use heightened sampling and testing of process parameters and quality

attributes in this stage until sufficient data generated for estimation of variability.

o This will form the basis for establishing level and frequency of routine sampling and monitoring.

o Process variability should be reviewed periodically. Annual review of manufacturing data

should be regarded as minimum requirement.

o The frequency and extent of review should be based on product/process risk considerations where

more frequent review is expected for critical process parameters and critical quality attributes.

o Periodic review can be adjusted accordingly when sufficient reliable product and process history

is demonstrated.

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14

“You can’t test quality into drug products”

has been heard for decades – so what’s new?

Quality by Design

◦ It’s a culture - incorporates quality principles as well as

strong compliance function

◦ Incorporates risk assessment and management

◦ Refocuses attention and resources on what’s important to the

customer, i.e. the patients, health professionals, and

distribution chain

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What is Quality by Design?

Quality by Design (QbD) is:

A systematic approach to development thatbegins with predefined objectives andemphasizes product and processunderstanding and Process control, based onsound science and Quality Risk Management

ICH Q8(R2)

3

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Page 16: QUALITY BY DESIGN and PROCESS VALIDATION

Quality

by

Design

(QbD)

Quality

By Design/

QbD

concept

Page 17: QUALITY BY DESIGN and PROCESS VALIDATION

What drives the process ?

Product

understanding is

required to design

the process.

Product Science

CriticalQuality

Attributes definethe process.

Process Risk

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Page 18: QUALITY BY DESIGN and PROCESS VALIDATION

Development Stages based on QbD

Define the

Quality Target

Product Profile

(QTPP)

Create a

Control

Strategy

Identify theCQAs

Define ProcessSteps & CPPsStage 1

Qualify Facility,

Utilities,

Systems and

Equipment

Implement the

Control

Strategy

Process

Validation

(PPQ)

Stage 2

Continued

Stage 3

Slide 13

Continued ProcessVerification Science and Risk-based Approach at

all Stages of Lifecycle

11/26/2018QbD - TPI 18

Identify sources of Variability – Product understanding

Control of Variability – Process understanding

Monitoring Variability-remains “in control”

R&D

Manufacturing

Process

Robustness

Page 19: QUALITY BY DESIGN and PROCESS VALIDATION

Stage 1 - Process Flow

Identify sources of Variability – Product understanding

Define theQuality Target Product Profile

TPP-QTPP-PPK

Create aControlStrategy -CS

Identify theCQAs

Define ProcessStepsCPPs –DS-RA

Stage 1

Qualify Facility,Utilities,

Systems and Equipment

Implement theControlStrategy

ProcessValidation

(PPQ)

Stage 2

ContinuedStage 3 Process

Verification Science and Risk-based Approach at all

Stages of Lifecycle

11/26/2018QbD - TPI 19

Page 20: QUALITY BY DESIGN and PROCESS VALIDATION

Important Aspects of Stage 1

• Clinical

• Characterisation

• Drug Release

• Pharmacokinetics

• Pharmacodynamic

• Pharmaceutical

process

• Therapeutic process

Analysis of the

Reference

Listed Drug

Product

• Drug Substance

• Excipients

• Drug Product

composition

• Manufacturing

process

Define the

Quality Target

Product Profile

TPP-QTPP

Create a

Control

Strategy-CS

Identify theCQAs

Define ProcessStepsCPPs-DS-RA

• Design of Experiments

• Risk Assessments

• Scale-up: Lab to Pilot

• Design Space

• Container Closure System

• Microbiological Attributes

Manufacturing

Process

Development

Drug Product

Formulation

Development

Pilot Bioequivalence

Study

Dissolution Method

Development

Components of Drug Product

11/26/2018QbD - TPI 20

CDS/UDT

BE study

Product

design

BA/BE study

Tablet

Page 21: QUALITY BY DESIGN and PROCESS VALIDATION

Quality Target Product Profile

A prospective summary ofthe quality characteristics ofa drug product that ideallywill be achieved

the desired • Quality, • Safety and • Efficacy

of the drug product

Example

• Oral administration

• Immediate Release or

Modified Release tablet

• Stable at room temperature

at least 2 years

• Single tablet dosed three

times daily

• Adult – child - infants

• Safety ➔ Toxicity, side effect,

• Efficacy

• effect therapy

• bioavailability

• bioequivalence11/26/2018QbD - TPI 21

ICH Q8(R2)

Definition

document containing detailed description of Establish pre-defined TPP

Page 22: QUALITY BY DESIGN and PROCESS VALIDATION

Critical Quality Attributes (CQA)

“A physical, chemical, biological or microbiological

property or characteristic that should be within an

appropriate limit, range, or distribution to ensure the

desired product quality”.

Identify theCQAs

2211/26/2018

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Could be for Raw Materials, Excipients, Drug Substance, intermediate, container closure components.

Developed from extensive product development & understanding

May only have limited information at early Stage1, so first set of CQA’s may be based on prior knowledge & experience

Decisions on criticality should be identified using a scientificevidence and a risk-based approach.

Identify items that impact Safety, Quality, Identity, Potency,Purity (SQuIPP).

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Critical Quality Attribute

Drug Substance(chemical)

Appearance

Particle size

Morphic forms

Water content

Residual solvents

Organic impurities

Inorganic impurities

Heavy metals

Residue on ignition

Assay

Drug product(tablet)

Appearance

Identification

Hardness

Uniformity of dosage

Physical form

Dissolution

Impurities

Degradation products

Water contentAssay

Microbiological limits

11/26/2018 24

Risk in

1. Continuity of

Quality

attribute

2. Continuity of

Supply

3. Reasonable in

cost

Page 25: QUALITY BY DESIGN and PROCESS VALIDATION

1. Attributes not defined as critical could still be monitored during

the Development phase.

2. CQAs are subject to change as product and process

knowledge develops (Design of Experiment and Design

Space)

3. Continue using Quality Risk Management

4. CQAs are usually linked to test specifications

5. All CQAs should be fully understood and defined before

moving to stage 2

11/26/2018 25

Input Process Output

Page 26: QUALITY BY DESIGN and PROCESS VALIDATION

QTPP to Potential CQAs

Safety &Efficacy

Strength Quality Identity Potency Purity

Potential CQAs

11/26/2018 26

Drug release

Activity

DeliveryCrystallinity

Particle Size Distribution Morphology

Degradation

Impurity

Page 27: QUALITY BY DESIGN and PROCESS VALIDATION

The use of statistical experimental design such as Design of Experiment (DoE) is very useful to determine relationships, including multivariate interactions, between the variable inputs and the resulting outputs.

Risk analysis tools can be used to screen potential variables for DoE studies to minimize the total number of experiments conducted while maximizing knowledge gained.

The results of DOE studies can provide justification for establishing ranges of incoming component quality, equipment parameters, in-process material quality attributes, and also to establish Design Space (DS).

11/26/2018 27

Page 28: QUALITY BY DESIGN and PROCESS VALIDATION

▪ “The multidimensional combination and interaction of

input variables (e.g., material attributes) and process

parameters that have been demonstrated to provide

assurance of quality.

▪ Should be adopted by development teams as it results in

better process understanding and the knowledge

supports the control strategy

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Page 29: QUALITY BY DESIGN and PROCESS VALIDATION

Design Space

Previous

ExperienceLiterature

Technology

TransferFirst Principles

Material

AttributesScale-up

Process

Parameters

Risk

Assessment

Facility, Systems

& Equipment

Understanding

Experimental

DesignQTPP, CQAs,

CPPs and CS

11/26/2018 29

Knowledge

Space

Design

Space

Operational

Space

Page 30: QUALITY BY DESIGN and PROCESS VALIDATION

Design Space

1. Understanding of the relationship between Process Inputs and CQAs useful to understand the edge of failure for material attributes or Critical Process Parameters

2. Development of a Design Space is optional but can be described in a Regulatory Submission

3. Working within the design space is not considered as a change.

4. Movement out of the design space is considered to be a change and would normally initiate a regulatory post approval change process.

5. Design space is proposed by the applicant and is subject to regulatory assessment and approval.”

6. Could be applied to part of a process Risk Assessment

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Critical Process Parameters (CPPs)

“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)

Page 32: QUALITY BY DESIGN and PROCESS VALIDATION

Critical Process Parameters (CPPs)

1. Subject Matter Experts (SMEs) from various departments

2. Provide documented rationale

3. A “Cause and Effect Diagram” to identify process input

parameters where variability may have largest impact to

product quality/process performance

4. As knowledge develops, other assessment tools are

useful

5. Quality Risk Management should be applied to all

Critical Stages/Proces Parameters of Stage 1 Process

Design

11/26/2018 32

Define Process

Steps & CPPs

Parameter Kritis - Validasi Parameter Kritis - QbD

Page 33: QUALITY BY DESIGN and PROCESS VALIDATION

Risk ➔ Quality Risk Management (QRM)

The QRM process must be systematicdefined policies and procedures

with

Must operate across the product lifecycle

Principles and methodologies should be clear ➔scientific knowledge based analysis

Criteria and decisions from assessments shouldbe documented

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Page 34: QUALITY BY DESIGN and PROCESS VALIDATION

Control Strategy

Built up based on previous knowledge and theoutcome of extensive product & process studies

Investigation of material attributes and process

parameters that were deemed high risk to the CQAsof the DP during initial risk assessment

Critical Material Attributes (CMAs) and Critical

Process Parameters (CPPs) were determined

Acceptable Operating Ranges were identified

• All variables that werein the control strategy

Can be further refined increases over time

deemed high risk are included

as process knowledge•

Create a Control

Strategy

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Control Strategy

Details the excipient attributes to be controlled

In-process controls

• High-risk process parameter ranges identifieddevelopment

Proposed operating ranges for commercial

manufacture

Release specification also identified

Basis for Process Validation

during

• Note that post-approval changes relevantto the control strategy

Slide 91

Create a Control Strategy

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11/26/2018 36

Knowledge

Space

Design

Space

Operational

Space

Product – Process Design Completion

Target of Stage 1

Page 37: QUALITY BY DESIGN and PROCESS VALIDATION

Final Stage of Complete Process Control Strategy

Important output of Stage 1

▪ Will ensure that the process remains in control, created

based on process knowledge gained

▪ Encompasses all elements of each unit operation of the

manufacturing process to be a systematically Critical

Process Parameter and proposed Design Space and

applied science and risk-based approaches-analysis and

techniques

▪ All product attributes and process parameters should be in

a complete Process Control Strategy

3711/26/2018

Final CQA-CPP-DS-RS-CS

dalam

Parameter Kritis - QbD

Page 38: QUALITY BY DESIGN and PROCESS VALIDATION

Stage 1 Stage 2 Stage 3

Cont. Process Verification/

Qualification Stage/QbD approach

Traditional approach to validation

Ongoing Process Verification

Process Design Qualification

Process Qualification

Continued Process Verification

The commercial manufacturing process is defined based on knowledge

gained through development and scale-up activities

Confirming that the manufacturing process designed is capable of

reproducible commercial manufacturing

Assuring that the process remains in a state of control

EU-GMP/

PIC/CPOB

FDA

Identify sources of

VariabilityControl of Variability Monitoring Variability-remains “in control”

11/26/2018 38

Summary

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Page 40: QUALITY BY DESIGN and PROCESS VALIDATION

Manufacturing processes may be developed using

1. Traditional approach

2. Continuous verification approach, based on QbD

approach

3. Hybrid approach, combined of both processes

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“Action of proving, in accordance with the principles of GMP, that any procedure, process, equipment, material, activity or system actually leads to the expected results”(EU GMP)

“ Establishing documented evidence that provides a high degree of assurance that a specific process will consistently produce a product meeting its predetermined specifications and quality attributes”(FDA Guideline)

For pharmaceutical manufacturer, validation should be understood not as a DISCRETIONARY rule, but as a MANDATORY requirement with which there must be COMPLIANCEValidation is addressed regularly during regulatory inspection as well as during supplier audit.

(EU GMP)

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Poorly developed and insufficiently optimized processes are a serious deficiency frequently encountered in process validation on production scale

There is often insufficient data or material available to be used as a basis for determining Critical Processing Step and Critical Process Parameters

11/26/2018 42

To compensate for the steps that were commonly missed

during development stage ➔ commonly using of term :

“Challenges”, “Worst-case”, “Optimization” THESE ARE NOT ACTUALLY PART OF VALIDATION PROCESS

Page 43: QUALITY BY DESIGN and PROCESS VALIDATION

11/26/2018 43

Process Validation IS NOT

Process Development

Development

Optimisation

Scale-Up

Process

Validation

Determine Challenge

Critical Parameter

Establish “Proven

Acceptable Ranges”

Define Operations

Ranges for Critical

Parameters

Confirmation of Normal

Operating Ranges for

Critical Paramaters

Page 44: QUALITY BY DESIGN and PROCESS VALIDATION

Process Optimization

➔ Proven Acceptable Ranges, adjusting a process to optimize some specified set of parameter without violating some constraint

➔ Design optimization, process to find the best design parameter that satisfy the requirement, typically using design of experiment(DOE), statistic and optimization techniques to evaluate and determine the best design

➔ Purpose of optimization → to achieve the best design relative to a set of prioritized or parameters criteria including maximizing some parameters such as productivity, reliability, longevity, efficiency and utilization

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Focus to learn the process capability, and hence the

influencing factors and the process capability index of

each individual part of the process

Once the influencing factor are known, the process can

be optimized and statistical trust placed in the process

as part of permanent process validation ➔ therefore

requires permanent data recording and not simply

random data collation of three statistically insignificant

“consistency batches”

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Validation protocols have not been compiled or are not being followed

Information about the equipment used, critical process parameters, sampling plan/data, number of batches, acceptance criteria, data evaluation etc. are missing from validation documentation as well as the integrity of the data

Changes to validated processes are not being addressed

Regardless the enormous amount of time and effort required for validation activities, it is not easy, initially, validation should also be a tool for saving materials, making cost-savings and saving time.

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According to PIC- Principles of Qualification and

Validation; Various FDA Guidelines

▪ There is no standard definition exists for the term of

Validation

▪ Therefore, validation in development plan be understood

differently to validation during production

11/26/2018 47

Definition : Validation during development

Validation during pharmaceutical development includes all development

activities and their documentation, which guarantee and prove that the quality of

the future commercial product matches the quality of the composition of

development and clinical samples

Page 48: QUALITY BY DESIGN and PROCESS VALIDATION

11/26/2018 48

Validation task at

individual Development stages

Page 49: QUALITY BY DESIGN and PROCESS VALIDATION

- Up Scaling

- Product

Transfer

GLP

Standards

11/26/2018 49

Pre-

formulation

experiments

Process

developmentClinical

phase I

Manufacturing

of clinical test

samples

Clinical

phase III

Clinical

phase II Clinical phase

IV, commercial

goods

Cleaning validation

Production equipment

Further development and validation of

analytical method

Approval for clinical tests Marketing approvalTime axis :

Process validation

Laboratory

scale/pilot scale

Manufacturing

of clinical test

samples

Manufacturing

of clinical test

samples

Submission

of marketing

authorization

documentsProcess validation

Manufacturing

process

Development and

validation analytical

method

Cleaning verification

Laboratory scale/pilot

scale

Manufacturing/long-term

stability of registration

batches

No legal

require

ment

Fully GMP complaints, but

more favourable conditions

apply for process validation

Fully GMP complaints,

more stringent

requirement apply for

process validation

Fully GMP

complaints, fully-

validated process

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11/26/2018 50

Validation at

Product Life cycle

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11/26/2018 51

Laboratory batches

Commercial batches

Commercial batches

Pilot batches

Development

phase

Improvement

phase

Validation phase

Usage phase

Shut-down

Change phase

Life cycle Processes

Page 52: QUALITY BY DESIGN and PROCESS VALIDATION

•mengendalikan aspek kritis kegiatan yang dilakukan

melalui kualifikasi dan validasi sepanjang siklus hidup

produk dan proses.

• Tiap perubahan yang direncanakan terhadap fasilitas,

peralatan, sarana penunjang, dan proses, yang dapat

memengaruhi mutu produk, hendaklah dikaji,

didokumentasikan secara formal dan dampak pada status

validasi atau strategi pengendaliannya.

• Sistem komputerisasi yang digunakan untuk pembuatan

obat hendaklah juga divalidasi sesuai dengan persyaratan

(Aneks 7) Sistem Komputerisasi

• Konsep dan pedoman yang relevan yang disajikan dalam

ICH Q8, Q9, Q10, dan Q11 hendaklah juga diperhitungkan

CPOB mempersyaratkan industri

farmasi

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• mencakup validasi awal dari proses baru, validasi bila terjadi perubahan proses, transfer lokasi pembuatan, dan verifikasiproses on-going

1. Ketentuan dan prinsipyang diuraikan dalam Butir-

butir ini berlaku untukpembuatan semua bentuk

sediaan obat..

• bahwa proses pengembangan produk yang andal diperlukan agar validasi proses berhasildilakukan dengan baik

2. Secara implisit tertuang

• Pedoman tentang Validasi Proses dimaksudkan untukmemberikan panduan mengenai informasi dan data yangdiperlukan dalam pengajuan izin ke regulator

• Namun, persyaratan CPOB untuk validasi proses berlanjut sepanjang siklus hidup produk

• Pendekatan ini hendaklah diterapkan untuk menautkanpengembangan produk dan proses

• memastikan proses pembuatan skala komersial secararutin dalam keadaan tervalidasi

3. Validasi proses dapatditerapkan bersamaan

dengan pedomantentang Validasi Proses

yang relevan

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• Traditional approach

• Continuous verification approach

• Hybrid approach

4. Proses pembuatan dapatdikembangkan dengan

menggunakan pendekatan

• harus dibuktikan keandalan proses dan memastikanmutu produk yang konsisten sebelum produkdiluluskan ke pasar.

5. terlepas dari pendekatan apapun yang digunakan,

• program validasi prospektif hendaklah diterapkanpada proses pembuatannya Validasi retrospektifmerupakan pendekatan yang tidak lagi dapatditerima

6. proses pembuatan yang menggunakan pendekatan

tradisional sebelum mendapatkanIzin Edar

• mencakup semua kekuatan produk yang akandipasarkan dan lokasi pembuatan.

7. Validasi proses produk baru

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8.Bracketing approach

• dapat dijustifikasi untuk produk baruberdasarkan pengetahuan proses yang ekstensif dari tahap pengembanganbersamaan dengan program verifikasi on-going yang sesuai

• Untuk validasi proses produk yang ditransfer dari satu lokasi ke lokasi lain atau pindah fasilitas dalam lokasi yang sama, pendekatan bracketing dapatmengurangi jumlah bets validasi

• Namun, harus tersedia pengetahuanproduk yang sudah diproduksi, termasukhasil dari validasi sebelumnya. Kekuatan, ukuran bets dan ukuran kemasan/jeniswadah yang berbeda juga dapatmenggunakan pendekatan bracketing jikatelah dijustifikasi

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• sejumlah bets produk diproduksi dalam kondisi rutinuntuk memastikan reprodusibillitas

1. Dalam pendekatansecara tradisional,

• didasarkan pada prinsip manajemen risiko mutu, memungkinkan

dibuat rentang variasi normal dan tren serta menghasilkan cukupdata untuk dievaluasi.

• Setiap industri farmasi harus menentukan dan memberi justifikasijumlah bets yang diperlukan untuk memberikan jaminan yang tinggi bahwa proses mampu menghasilkan produk yang bermutusecara konsisten.

• Tanpa mengurangi persyaratan pada butir 12.53, pada umumnya minimal produksi tiga bets berturut-turut dalamkondisi rutin dapat merupakan validasi proses

• Alternatif jumlah bets dapat dipertimbangkan dari justifikasi ametode pembuatan standar yang telah digunakan dan apakahproduk atau proses yang mirip telah digunakan sebelumnya di pabrik tersebut.

• Data validasi tiga bets awal mungkin dapat ditambahkan pada data yang diperoleh dari bets berikutnya sebagai bagian daripelaksanaan verifikasi on-going

2. Jumlah betsyang diproduksidan jumlahsampel yang diambil

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• the critical process parameter (CPP),

• critical quality attributes (CQA) dan

• kriteria keberterimaan terkait harusberdasarkan data pengembanganatau pemahaman proses/process knowledge yang terdokumentasi

• Protokol validasi proses hendaklahmencakup,

3. Protokol

validasi

proses harus

disiapkan

dengan

menjelaskan

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• selama proses pengembangan telah ditetapkan secarailmiah, strategi pengendalian, yang memberikan tingkatkepastian mutu produk yang tinggi, maka verifikasi proses secara kontinu dapat dilakukan sebagai alternatif untukvalidasi proses tradisional

1. Untuk produkyang dikembangkanberdasarkanpendekatanquality by design (QbD

• a science based control strategy for the required attributes for incoming materials,

• critical quality attributes and

• critical process parameters to confirm product realization.

• should also include regular evaluation of the control strategy (RM-FG)

• Process Analytical Technology and multivariate statistical process control may be used as tools.

• each manufacturer must determine and justify the number of batches necessary to demonstrate a high level of assurance that the process is capable of consistently delivering quality product

2. Metode untukmemverifikasiproses harus

ditetapkan. Strategipengendalianproses harustersedia

Prinsip yang ditetapkan dalam ketentuan umum tetap berlaku

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Pendekatan hibrida daritradisional dan verifikasi

proses kontinu dapatdigunakan

• bilamana sudah diperolehpengetahuan danpemahaman yang tinggimengenai produk danproses yang diperolehdari pengalamanpembuatan dan data riwayat bets

Pendekatan ini jugadapat digunakan untuk

• kegiatan validasipascaperubahan atauselama verifikasi proses on-going meskipunproduk tersebut padaawalnya divalidasidengan menggunakanpendekatan tradisional

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• where there is a strong benefit-risk ratio for the patient, it may be acceptable not to complete a validation program before routine production starts and concurrent validation could be used.

• However, the decision to carry out concurrent validation must be justified and approved by NADFC, documented in the VMP for visibility and approved by Quality Assurance Head

1. In exceptional circumstances

• there should be sufficient data to support a conclusion that any given batch of product is uniform and meets the defined acceptance criteria.

2. Where a concurrent validation approach has

been adopted

• should be formally documented and available to the Quality Assurance Head prior to certification of the batch

3. The results and conclusion

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• under an approved protocol or equivalent documents

• a corresponding report should be prepared to document the results obtained.

• Statistical tools should be used, where appropriate, to support any conclusions with regard to the variability and capability of a given process and ensure a state of control

On-going process

verification should be conducted

• throughout the product lifecycle to support the validated status of the product as documented in the Product Quality Review. Incremental changes over time should also be considered and the need for any additional actions, e.g. enhanced sampling, should be assessed

On-going process

verification should be used

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Stage 1 Stage 2 Stage 3

Cont. Process Verification/

Qualification Stage/QbD approach

Traditional approach to validation

Ongoing Process Verification

Process Design Qualification

Process Qualification

Continued Process Verification

The commercial manufacturing process is defined based on knowledge

gained through development and scale-up activities

Confirming that the manufacturing process designed is capable of

reproducible commercial manufacturing

Assuring that the process remains in a state of control

EU-GMP/

PIC/CPOB

FDA

Identify sources of

VariabilityControl of Variability Monitoring Variability-remains “in control”

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Summary

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Stage 1 Stage 2 Stage 3

Cont. Process Verification/

Qualification Stage/QbD approach

Traditional approach to validation

Ongoing Process Verification

Process Design Qualification

Process Qualification

Continued Process Verification

The commercial manufacturing process is defined based on knowledge

gained through development and scale-up activities

Confirming that the manufacturing process designed is capable of

reproducible commercial manufacturing

Assuring that the process remains in a state of controlFDA

Identify sources of

VariabilityControl of Variability Monitoring Variability-remains “in control”

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EU-GMP/

PIC/CPOB

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Important Aspects of Stage 1• Clinical

• Characterisation

• Drug Release

• Pharmacokinetics

• Pharmacodynamic

• Pharmaceutical

process

• Therapeutic process

Analysis of the

Reference

Listed Drug

Product

• Drug Substance

• Excipients

• Drug Product

composition

• Manufacturing

process

Define the

Quality Target

Product Profile

TPP-QTPP

Create a

Control

Strategy-CS

Identify theCQAs

Define ProcessStepsCPPs-DS-RA

• Design of Experiments

• Risk Assessments

• Scale-up: Lab to Pilot

• Design Space

• Container Closure System

• Microbiological Attributes

Manufacturing

Process

Development

Drug Product

Formulation

Development

Pilot Bioequivalence

Study

Dissolution Method

Development

Components of Drug Product

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CDS/UDT

BE study

BA/BE study

Process Validation Stages Trough LifecycleEU-GMP vs GMP-FDA

Product

information

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Define

Product

Intended

Use and

pre-

definition

of Quality

targets (wrt

clinical

relevance,

efficacy and

safety)

Identify

Critical

Quality

Attributes

(CQAs)

having an

impact on

product

Quality

Summarise

Prior

Scientific

Knowledge

(drug

substance,

excipients;

similar

formulations

and

processes).

Initial Risk

Assessment

Make key

decisions to

develop

iteratively New

Scientific

Knowledge

e.g. DoE, PAT,

linking

material

attributes and

process

parameters

that impact on

CQAs

Summarise

Scientific

Understand-

ing of

Product and

Process.

Justify and

describe

Multi-

dimension

Space that

assures

Quality

Define

Control

Strategy

based on

Design Space

leading to

Control of

Quality

using

Quality

Risk Mgmt.

(Process

Robutness)

CSDSPr.P

Dev

PKCQAsQTPP

Application of Quality by Design through a Product’s lifecycle

CI

Identify

appropriate Improvement

Operate

Change

Manageme

nt System

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Roadmap for QbD

• Product Understanding and Process Knowledge

• Define Target Product Profile

• Define the Quality Target Product Profile

• Identify the Critical Quality Attributes

• Process Description

• Determine the Critical Process Parameters

• Determine the Design Space

• Perform a Risk (Assessment) Analysis

• Perform Experiments

• Identify a Control Strategy8

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Stage 1 Stage 2 Stage 3

Qualification

StageTraditional

approach to

validation

Ongoing Process Verification

Process Design

Qualification

Process

Qualification

Continued Process VerificationAssuring that the process remains in a state of controlFDA

Identify sources of

VariabilityControl of Variability Monitoring Variability-remains “in control”

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EU-GMP/

PIC/CPOB

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➢ A process validation protocol should be prepared which defines the critical process parameters, critical quality attributes and the associated acceptance criteria which should be based on the development data or documented process knowledge

➢ The number of batches manufactured should be based on quality risk management principles. Each manufacturer must determine and justify the number of batches necessary to demonstrate a high level of assurance that process is capable of consistently delivering quality product

➢ It is generally capable acceptable that a minimum of three consecutive batches would constitute a validation of the process. An initial validation exercise with three batches may need to be supplemented with further data obtained from subsequent batches as part of an on-going process verification exercise

The information obtained thru the development study, should be made the good use of, by R&D and Production as well

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▪ They number of batches should be determined thru quality risk

management. However, it is not easy to determine the required

number on science base, it is accepted to have 3 consecutive

batches

▪ There were 3 process validation approaches in the previous

version, Prospective, Concurrent and Retrospective Validation

▪ Among those three, only concurrent validation remains in the

new version but its meaning has been drastically changed

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New (2018)

Validation carried out in exceptional circumstances, justified on the basis of significant patient benefit, where the validation protocol is executed concurrently with commercialization of the validation batches

Old (2001)

Validation carried out during routine production of products intended for sale

These changes are reasonable, because validation should be always looking for the future.

➢ In exceptional circumstance where there is a strong risk-benefit to the patient, it may be acceptable not to complete a validation program before routine production starts and concurrent validation could be used

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Define theQuality Target Product Profile

(QTPP)

Create aControlStrategy

Identify theCQAs

Define ProcessSteps & CPPs

Stage 1

Qualify Facility,Utilities,

Systems and Equipment

ImplementControlStrategy

ProcessValidation

(PPQ/PPV)

Stage 2

ContinuedStage 3 Process

Verification Science and Risk-based Approach at all

Stages of Lifecycle

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Process Validation Stages Trough LifecycleEU-GMP vs GMP-FDA

Page 75: QUALITY BY DESIGN and PROCESS VALIDATION

Stage 2 Process Qualification/Validation

Demonstrate that the process is capable ofreproducible commercial manufacture

It should be completed before productreleased commercially.

is•

Two parts to this Stage:•

Design & Qualification

of FSE

Process Performance Qualification

Product that meetspredetermined quality

attributes

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URS → Qualification

Facility/System/

Equipment

PPQ/PV

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PPQ/PV

1. Kualifikasi F/M/S/MA ➔ mulai dari URS-DQ-IQ-OQ-PQ

2. Critical Process Parameter (CPP)/Parameter Kritis

3. Critical Quality Attributes (CQA)/Atribut Mutu➔ RM/PM/FG termasuk Pengawasan dalam proses

4. Kajian Risiko dari setiap tahapan proses dan

5. kriteria keberterimaan terkait harus berdasarkan data pengembangan atau pemahaman proses/process knowledge yang terdokumentasi

6. Dilaksanakan sesuai dengan Protokol validasi proses yang telahdisusun

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UR

URS

Detail Design-1

FinalizedDesign -

DQ

FinalizedURS

DQ/IQ/OQ

Revise

Revise

Construction Unit

Design

Review

Engineering Unit

FAT, PDI, SAT

Final ProtocolIQ/OQ/PQ

11/26/2018 77

PQ/PPVCMC/CTD/

MPD

• Engineering Requirement• GMP Requirement

Qualification

Verification

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URS QA Unit

Detail Design

OQ Protocol

IQ Protocol

DQ Protocol

OQ Report

IQ Report

DQ Report

Engineering Unit / User Unit

Check

Review

Approve

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Qualification

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Validation can be defined as Qualification followed by Verification/Validation

Report

CMC/CTD/MPD

Protocol

PQ

OQ

IQ

DQ

Draft SOP

Reports

Raw Data

Training Education

Operator, Facilities & Equipment, Material, Method

Phase 2

Phase 1

Verification/Validation

Qualification

Master Production Document

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How many PPQ batches?

This depends on the risk and the following elements could beapplied to make the decision:

Based on expected coverage

Based on Target Process Confidence and Target Process

Capability

Rationale and experience-based justifications

11/26/2018 81

1

2

3

“should be based on sound science and the manufacturers overall levelof product and process understanding and demonstrable control”

Process design is evaluated to determine if the process

is capable manufacturing of reproducible commercial

manufacturing

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Traditional approach

Research and Development

Pilot scale

Scaling up

Commercial batch and Process validation prospective, Concurrent and Retrospective

Annual Product Review/Product Quality Review

New Paradigm – QbD approach

Process validation Stages Trough Lifecycle Stage 1 : R&D, BA/BE, Trial,

Scaling up etc. Stage 2 : Process

validation/PPQ Stage 3 : CPV/PQR, Process

Robustness, SPC Process Analytical

technology/PAT Real-time Release Testing (RTRT) Operational Excellent - Lean Six

Sigma

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Stage 1 Stage 2 Stage 3

Qualification

StageTraditional

approach to

validation

Ongoing Process Verification

Process Design

Qualification

Process

Qualification

Continued Process Verification

FDA

Identify sources of

VariabilityControl of Variability Monitoring Variability-remains “in control”

11/26/2018 84

EU-GMP/

PIC/CPOB

Page 85: QUALITY BY DESIGN and PROCESS VALIDATION

MBMRMBPR

CMC/CTD/MPD

Batch Records

APR/PQRCPV/OPV

Investigation

Change ControlValidation

Product Master Formula

➢ Knowledge Management

➢ Risk Management

Triggers for CAPA▪ Deviation▪ Self Inspection▪ Recall etc

Routine Production

Ongoing process verification

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Annual Product Review/APR

◦ Is yearly evaluation of the production and quality control data preparation

◦ The analysis of this data (e.g. from correlations, trends, deviations, unexpected

variability) results in valuable indications regarding the validation status of the

manufacturing process

◦ APR serves as “ongoing validation” and, on the other hand, the data obtained are

important prerequisites for ”Continuous Improvement” (CIP)

◦ CFR 211.180(e) basically specifies that the quality standard of every product must be

evaluated at least once a year on the current specifications and records to determine

whether modification to product specifications, manufacturing instructions or control

procedures are required

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11/26/2018 87

Product Quality Review/PQR

◦ Periodic review or rolling quality review of all licensed medicinal or drug

product including export only product

◦ the objective is to verifying the consistency of existing process, the

appropriateness of current specification for both starting materials and

finished goods

◦ to highlight any trends and to identify product and process improvement

Page 88: QUALITY BY DESIGN and PROCESS VALIDATION

▪ Manufacturing and packaging instructions▪ Batch manufacturing and packaging records▪ In-process control records▪ Analytical procedures▪ Certificate of Analysis and Test protocol▪ Testing procedure for RM/PM▪ Sampling plans and reports▪ Modification documents▪ Marketing Authorizations submitted, approved or rejected▪ Quality deviation report▪ Complaints and recalls▪ Stability data▪ Returned or salvaged drug products

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Requirement APR PQRTime covered by review

Summary of finding of review and recommendation

Product name, description, form and strength

List of batch numbers

Review of starting and packaging material -

In-process analytical result

Finished product analytical result

Rejected batches and reason for rejection

Stability result (during the course of a calendar year due to

changes in the RM/PM Spec, Supplier/manufacturer)

Reworked and reprocessed batches

Statistical treatment of data

Description of changes

Environmental control

Comparison the content of APR or PQR report

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Requirement APR PQRYield

Deviations/variances/investigations/OOS/OOT

Complaints received and evaluation

Recalls and reason for recall

Returned and salvaged goods

Review of post marketing commitments -

Market authorizations submitted/approved/not approved -

Qualification status of equipment and utilities -

Validation process/cleaning/method -

Review of third party agreement -

Evaluation and Summary -

Conclusion

Approval name and signature

Comparison the content of APR or PQR report

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Periodic Monitoring/Review

1. Risk-based analysis

• Frequency of the review may be based on a risk assessment

2. Review of regulations/GMP

3. Helps identify potential issues

4. Recommend planned improvements ➔ Six Sigma, Process

Robustness etc.

5. Documented CAPA with Conclusions

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▪ Manufacturers should monitor product quality to

ensure that a state of control is maintained

throughout the product lifecycle

▪ Ongoing process verification should be considered

where any individual change or successive

incremental changes during the product lifecycle

could have an impact on the validated status of the

process

This is the same concept as Continued Process Verification of FDA

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Continued Process Verification - FDA

11/26/2018 93

▪ Maintenance the Validated State- Overall periodic review of the validated state

▪ Change in the validated state of the process could impact productquality

▪ Monitored via:

▪ Change Control

▪ Periodic Monitoring/Review

- data trending

- review analytical data from routine monitoring

- review process parameters

▪ Demonstrates consistency of initial results

▪ Statistical Process Control-SPC

▪ Data from automation

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11/26/2018 94

Maurice Parlane,

ISPE Process Validation Team;

CBE Pty Ltd (Australia)

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CPV/OPV in context

Maurice Parlane,

ISPE Process Validation Team;

CBE Pty Ltd (Australia)

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Compliant validation does not require

lifecycle (QbD) approach; but must have:◦ Control strategy

◦ Evidence of robustness

PQS/QMS must be “ready” to manage CPV/OPV (VMP, infrastructure, work culture and tools)

Deficiencies/gaps in process understanding should dictate actions and approach

Prioritisation should be risk based

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Before you start…

1. Corporate policies

2. SOPs

3. Validation approaches

4. Data analysis tools and systems

5. Staff trained in use of statistics

6. PLAN before do….

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▪ Volume of product in market

▪ Number of patients served

▪ Criticality or uniqueness incl. potential for shortage

▪ Regulatory authority

▪ ISPE Discussion Paper Legacy Products, 2016.

▪ Quality history

▪ Planned change or improvement

▪ Manual/high risk control

▪ Status of PV package for product

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CPV/OPVISPE Discussion Paper Legacy Products, 2016

Page 100: QUALITY BY DESIGN and PROCESS VALIDATION

The big challenges to Pharmaceutical Industry is to provide safe medicinal drug

products in high quality and for affordable price that are compliant with the

appropriate legal requirements and state-of-the-art procedures

The achievable prices for drug products decrease and, in order to maintain R&D

investment, the companies are motivated to reduce their cost without impact to

product quality

There are methods available and already in place.

◦ Most of them are used with economical objectives to save effort in achieving targets.

◦ All of them contribute to quality demands and have been invented to reach quality

goals

◦ They don’t have to be implemented but they are often very helpful to reduce effort and

cost, and to demonstrate the value of quality

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One among the famous method is Six Sigma – Process Robustness

Page 101: QUALITY BY DESIGN and PROCESS VALIDATION

➢ A set of practices to systematically improve processes by eliminating defects.

➢ A holistic and flexible method that combines known tools with the aim to improve all types of processes◦ Mathematically SS refers to a maximum of 3,4 defects per millions

opportunities.

◦ Within the scope of SS it is assumed that a process shifts about plus and minus 1.5 standard deviations

The concept of Six Sigma lies much more in the approach to a problem rather than in the tools used to solve it

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Six sigma approach can be thought of at 3 main levels◦ Optimizing individual metric◦ Using the proven methodology to reduce defect and improve these metric◦ Ensuring alignment between the individual metrics and the overall strategic

goal

The equation : Y = f(x) + E◦ Y = output of interest, such metric of Time, Quality or Cost

◦ X = represent the input factors which have been an impact on the output Y

◦ F() = represent the mathematical function which defines the relationship between X and Y

◦ E = the unknown portion since the equation might not be able to explain hundred percent of the total variability

The GOAL ◦ To clearly define the Y to improve and the target level to achieve◦ Identify all the critical X in the equation and understand the relationship

between X themselves and on Y◦ To reduce E to a very small portion

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By doing this, it becomes possible to accurately

control the output of the process

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Need Six Sigma Tools and Methodology Expert▪ Basic understanding of statistical procedures and techniques

▪ Basic understanding of the organization’s overall business process

▪ Experience in managing projects of varying size and complexity

▪ Leading cross-functional teams

▪ Experience in teaching, coaching and/or internal consulting roles

▪ Key responsibilities include :

- Identification and confirmation of potential projects and saving

- Running Process Robustness analysis

- Planning, leading and completing projects :

o Setting project metric and goals

o Selecting team members (including green belts)

o Using DMAIC methodology

o Selecting appropriate tools, following correct methodology, and confirming results

o Communicating progress, issues and success to team and management

o Ensuring team remains within timeline and cost targets

o Teaching tools, concepts and techniques to project members

o Sharing praise and celebrating success

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• Project

selection

• Team

selection

• Create

project

charter

• Set metric

and goal

• Process

analysis

• Voice of

customer

CSSCQAs

Define

Six Sigma Approach - DMAIC Phases

CI

Measure Analyze Improve Control

• Define

Project and

boundaries

• Collect data

on current

state

• Assess

suitability of

measurement

system

• Determine

current

performance

level

• Identify

potential

cause

• Reduce

potential

causes down

to vital few

• Create

process

model based

on vital

factors

• Determine

new

optimum for

process

validate

results

• Confirm

process is

stable and

capable

• Implement

monitoring

procedures

• Update

quality

systems

• Standardize

ACTIVITIES

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• Project

Charter sheet

• Process Flow

diagram

• Process yield

• Voice of

customer

• Kano

analysis

• Historical

data plot

• Pareto

diagram

CSSCQAs

Define

Six Sigma Approach - DMAIC Phases

CI

Measure Analyze Improve Control

• Process

mapping

• Data collection

plan

• Process

capability

• Measurement

system

analysis

• Gage R&R

• FMEA

• Cause and

Effect diagram

• XY diagram

• Detailed

process map

• Graphical

data analysis

tools

• Hypothesis

testing

• Variance,

regression

and

correlation

analysis

• Simulations

• Design of

Experiment

(historical,

screening,

full or partial

factorial etc.

• Response

surface

design

• Improvement

impact and

benefit

• Process

capability

• SPC chart

• Control plan

• FMEA

• Replication

opportunities

• Project

report

TOOLS

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107

Terima kasih

11/26/2018