1 intro rev4-1
DESCRIPTION
Six Sigma IntroductionTRANSCRIPT
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Achievement Labs’
Management Systems Institute
Green Belt CourseIntroduction
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Table of Contents
Section No. Section Name Slide No.
1 Introduction to Course, Introduction to Six Sigma & Methodology
1 ~ 45
2 Define 1 ~ 30
3 Measure 1 ~ 76
4 Analyze 1 ~ 68
5 Improve 1 ~ 76
6 Control 1 ~ 30
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LOGISTICS
Getting started :
Breaks:
Class materials:
Location of Support facilities:
Attendance at all sessions is expected on dot
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Successful Candidates shall be awarded with Approved Certificate of
NABET- a constituent of -QCI (National Accrediation Board For Education and Training, a
constituent of QCI and is a member of IPC-Australia and further signatory of mutual recognition agreement with
IRCA-UK and RAB QSA- Australia and US for Lead Auditor courses)
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LEARNING OBJECTIVES
I. Overview of Six Sigma Methodology
II. Over view of Six Sigma Project execution (Define- Measure- Analyze- Improve & Control
III. Introduction to statistical software package - Minitab.
IV. Process of Closing the Project
V. Work through at least 2 six sigma projects of different
applications.
Detailed objectives are available on www.qcin.org website.
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COURSE DETAILS
• Covers NABET Requirements
Duration 4 days
Minimum 36 Hrs extending to 4 day course,
Out of 36 Hrs, Minimum 30% are for Case studies, workshops etc.
Combination of Classroom Teaching and Exercises
Provides Course Material and Work Book
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COURSE DETAILS
Continuous Assessment of participants
Course Final Examination (2 Hrs.)
Qualifying marks shall be an avg. of 70%.
At the time of examination participants are permitted to use Course Material.
Successful participants shall be awarded certificate (NABET approved).
All participants with full attendance shall be awarded a “Certificate of Attendance”.
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COURSE DETAILS
Who fails continual evaluation shall have to satisfactorily complete another full course.
Participants who fails the written examination, but has passed the continual evaluation, shall be allowed one re-examination within twelve months.
Participants who fails the re-examination also shall have to take a full course again.
Attendance for the full duration of the course is mandatory and Use of mobile phones etc., is forbidden during the course.
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Schedule – Day 1
08.30 - 10.30
Introduction to program, course structure Micro Lab Exercise (30 Mnts) Six Sigma Terminology Data punch case Study. (30 Mnts) Group Discussion on Process Improvement (30Mnts)
10.40 - 13.30 Introduction to Six Sigma & Methodology Intro Exercise – I & 2 (60 Mnts) Sample Six Sigma Project-1 (30Mnts)
14.10 - 20.00 Define Methodology Intro Define Methodology Tools Define Exercises – 1 to 4 (2.00 Hours)
10.30 - 10.40, 12.00 to 12.10 &
15.30 - 15.40, 18.00 to 18.10Tea Break – Every Day
13.30 - 14.10 Lunch – Every Day
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Schedule – Day 1
08.30 - 10.30
Introduction to program, course structure Micro Lab Exercise (30 Mnts) Six Sigma Terminology Data punch case Study. (30 Mnts) Group Discussion on Process Improvement (30Mnts)
10.40 - 13.30 Introduction to Six Sigma & Methodology Intro Exercise – I & 2 (60 Mnts) Sample Six Sigma Project-1 (30Mnts)
14.10 - 20.00 Define Methodology Intro Define Methodology Tools Define Exercises – 1 to 4 (2.00 Hours)
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Schedule – Day 208.30 - 09.00 Review of previous day learning
09.00 - 13.30 Measure Intro Measure Group Discussion – 1 (30Mnts) Measure tools Measure Exercise – 1 to 5 ( 1.45 Hours)
14.10 – 20.00 Measure & Measure tools Cont… Measure Exercise – 6 to 12 (2.45 Hours) Introduction to Analysis
08.30 - 09.00 Review of previous day learning
09.00 - 13.30 Analyze & Analysis tools Analyze Exercise – 1 (45 Mnts)
14.10 – 20.00 Analyze & Analysis tools Cont…dAnalyze Exercise – 2 &3 (2.15 Hours) Improve Intro & Improve Tools
Schedule – Day 3
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Agenda
08.30 - 09.00 Review of previous day learning
09.00 - 13.30 Improve & Improve tools Cont…d Improve Exercise – 1 to 4 (2.30 Hours) Control & Control tools
14.10 – 16.30 Control & Control tools Cont…d Exercise – 1 & 2 (1.45 Hours)
16.30 – 18.00 Six Sigma Project & Summarization Sample Six Sigma Project -2 (30mnts)
18.00 – 20.00 Examination
DAY 4
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Data Punching A Case Study – Identification, Prioritization and selection of Improvement opportunities.
Continual Improvement
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Start
Dept. 1 Dept. 2 Dept. 75
Supervises
Operator receives and punches
Operator receives And punches
Operator receives and punches
Assigns jobs
Is verification required? Job verification
Too many defects
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Do you feel that the error rate of the punched cards of your department as received from
the key punching department is unsatisfactory, satisfactory or
excellent?
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Unsatisfactory 72%
Satisfactory 20 %
Excellent 8 %
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Day Number of cards inspected
Number of defective cards
Proportion of defective cards
1 200 6 .03
2 200 6 .03
3 200 6 .03
4 200 5 .025
8 200 14 .07
22 200 15 .075
23 200 4 .02
24 200 1
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7
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01 2 3 4 5 6 7 8 9
1
0
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Day
Along Y axis 0 means .00, 1 means .01, 7 means .07Data concerning daily proportion of defective cards
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Day Comment
8 Untrained operator used for a rush job
22 Ran out of cards from a usual vendor
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.08
.07
.06
.05
.04
.03
.02
.01
.00
.08
.07
.06
.05
.04
.03
.02
.01
.00
.052
.021
.00
.044
.017
.001 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Before After
Effectiveness of Countermeasure
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Check Sheet of defective cards
Operator Tally Frequency
1 // 2
2 /// 3
3 / 1
4 //// //// //// //// /// 19
5 0
6 // 2
7 1 1
8 /// 3
9 //// //// //// //// // 17
10 // 2
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50
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5
0
4 9 2 8 1 6 10 3 7 5
Nu
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de f
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Operator number
Cu
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100%
Pareto Diagram showing defective cards operator wise
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Operator Frequency % Cumulative %4 19 38 389 17 34 722 3 6 788 3 6 841 2 4 886 2 4 92
10 2 4 963 1 2 987 1 2 1005 0 0 100
Pareto analysis of defective cards by operator
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Major causes of defective cards
Month Total
Transposed numbers 7 10 6 5 28
Off punched cards 1 2 3
Wrong characters 6 8 5 9 28
Data printed too lightly on cards
1 1 2
Warped cards 1 1 2 4
Torn cards 1 1 2
Illegible source document 1 1
Total 15 20 16 17 68
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Tra
nsp
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um
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Wro
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War
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Off
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60
50
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30
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Pareto Diagram to determine causes of defective cards for operator number 4
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Major causes of defective cards
Freq % Cumulative %
Transposed numbers
28 41.2 41.2
Wrong characters 28 41.2 82.4
Warped cards 4 5.9 88.3
Off punched cards 3 4.4 92.7
Data printed too lightly on cards
2 2.9 95.6
Torn cards 2 2.9 98.5
Illegible source document
1 1.5 100
Total 68 100
Pareto analysis to determine causes of defective cards
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Environment
Materials Machines
Methods Manpower
Transposed numbers and wrong characters
Poor eye sight
Needs glasses
Brain Storming Session
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.05
.04
.03
.02
.01
.00
.05
.04
.03
.02
.01
.00
.052
.021
.000
.026
.008
.000
Improvement
P chart showing improvement after operator 4 is stable
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Group Discussion – 1
Discuss your experiences of
Process Improvements made
at your work place.
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Six Sigma Champions• Support Projects• Take Ownership• Provide Resources• Remove Roadblocks• Demand Results• Review Projects
Roles and Responsibilities
Six Sigma Green Belts• Project Leader• Follow Rigorously DMAIC• Change Agents• Part Time Resource• Solicit Support from Champions
Six Sigma Black Belts • Project Leader• Mentor Green Belt Projects• Change Agents• Part Time Resource• Guide Teams in DMAIC• Solicit Support from Champions
Six Sigma Master Black Belts • First and foremost teachers• Review and mentor Black Belts• Conduct Trainings • Master Black Belts are full-time positions
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3 Dimensions for Process Focus
1.1.13
For existing processes improvement – DMAIC
For development of new products / processes -Design for Six Sigma - DFSS or DMADV
For managing the process : Business process Management Systems (BPMS), QMS, ISO
Des
ign
DFS
S/D
MA
DV
Improvem
ent
DM
AIC
ManagementBPMS
Methodologies Standards
•Six Sigma•Lean
•ISO 9000, ISO 14000 etc.
Scientific way to
improve capability
Sharing Benchmarked
practices- “Standardizing
”
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DPMO
Defect Per Unit (DPU) :
Total number of defects in sample divided by total number of units.
Opportunity :
A unit may have more than one type of defect.
Each is an opportunity.
Ex: A watch case may have pits, burr etc.
Defect :It is a feature in a product or service that causes dissatisfaction to the customer.
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DPMO
Defects Per Million Opportunities (DPMO) :
DPMO = (DPU) * 1 Million / Number of opportunities per unit OR DPMO = Defects per opportunity (DPO) * 1 Million
Parts Per Million (PPM) :
A Number taken as reference from the sum total of one million
Ex. If 100 items are found defective from total numbers of items of one million. It shall be referred as 100PPM
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DPMODefects Per Million Opportunities (DPMO) :
DPMO = (DPU) * 1 Million / Number of opportunities per unit
Ex: We checked 500 Purchase Orders (PO) and (PO) had 10 defects.Then DPU = d/u = 10/500 = 0.02
In a PO we check for the following: 1. Supplier Address/approval 2. Quantity as per the indent 3. Specification as per the indent 4. Delivery requirements 5. Commercial requirements• Then there are 5 opportunities for the defect to occur.• Then, the total number of opportunities = 5*500 = 2500
• DPO = = 10/2500 = 0.004• DPMO = DPO* 1 Million = 4000
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DPMO
General Worksheet for Calculating Process Sigma
1. Number of units processed N= ------------- 2. Total Number of Defects Made (Include Defects Made And Later Fixed ) D= -------------3. Number of Defects opportunities Per Unit O= --------------4.Solve For Defects Per Million D Opportunities DPMO= 1,000,000 X N X O ( )
= 1,000, 000 X -----------------------
( ) ( ) = -----------------------5. Process Sigma in Sigma Conversion table Sigma = --------------------
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1000000
100000
10000
1000
100
10
1
0.11 2 3 4 5 6 7 8
Average Company
Best in ClassDPMO
Sigma Quality Level
Sigma level Vs DPMO
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As Sigma increases DPMO decreases
4 Sigma 6,210 Defects
2 Sigma 308,537 Defects
3 Sigma 66,807 Defects
5 Sigma 233 Defects
6 Sigma 3.4 Defects
Sigma levels and Defects per million
opportunities (DPMO)
SIX SIGMA LEVELDPMO
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Enhance Customer Satisfaction
Improve Productivity
Enhanced Top lines
Enhance Profitability
Reducing Operating costs
Improve Market share
Six sigma is a management tool that helps in identifying the root causes to:
Why ”Sigma“? Sigma(s) is a Greek letter which stands for standard deviation, that measures how far a given process deviates from perfection.
What is Six Sigma?
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• The term “sigma” is used to designate the distribution or spread about the mean (average) of any process or procedure.
• For a process, the sigma capability (z-value) is a metric that indicates how well that process is performing. The higher the sigma capability, the better. Sigma capability measures the capability of the process to produce defect-free outputs. A defect is anything that results in customer dissatisfaction.
Two Meanings of Sigma
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Path to Six Sigma
4 Sigma 6,210 Defects
2 Sigma 308,537 Defects
3 Sigma 66,807 Defects
5 Sigma 233 Defects
6 Sigma 3.4 Defects
Sigma levels and Defects per million
opportunities (DPMO)
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• A systematic approach to process improvement.
• Processes can be related to design, manufacturing or administrative functions.
• It involves the use of statistical tools and techniques to analyse & improve processes.
• The relentless pursuit of variability reduction and defect elimination.
LSL USL
LSL USL
What is Six Sigma?
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LowerSpec.Limit
UpperSpec.Limit
2700
Defects per Million
LowerSpec.Limit
UpperSpec.Limit Less than3.4
From 3 Sigma to 6 Sigma
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1. Disciplined - Focuses on improvement areas
2. Scientific - Validation to statistical significance
3. Driven by data - on customer relevant metrics
4. Focused on the ‘X’s - Y = f(x)
5. Focused on sustenance - Vs Quick fix.
Customer relevant, Data driven - Critical ‘X’ focus
Six Sigma is
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Y = f(X)
Which one should we focus on the Y or X?
■ Dependent Function
■ Output
■ Effect
■ Symptom
■ Monitor
■ Independent Variable
■ Input
■ Cause
■ Problem
■ Control object
6σσ Methodology
6σ Application assures that problem is solved by focusing on the factors that cause the problem.
Focus on Conventional Approach of Problem solving
Focus on 6σσ is Modern Approach of Problem solving
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Step 5: CONTROL
Step 2: MEASURE
Step 1: DEFINE
Step 4: IMPROVE
Step 3:ANALYZE
Toll Gate
Toll Gate
Toll Gate
Toll Gate
Toll Gate
DMAIC
DMAIC
Define Define project goals & customer (internal & external) deliverables
Measure Measure the process to determine current performance
Analyze Analyze and determine the root cause of the defects
Improve Improve the process by eliminating defects
Control Control future performance
Toll Gate The project team reviews with Champions to ensure adequate level of work is done before moving on to next step.
Methodology: DMAIC
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Intro Exercise – 1
&
Intro Exercise – 2