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Day 1 : Full Session
Day 1 : Lesson 1 : Goals of six sigma
Day 1 : Lesson 2 : What is sixsigma
Day 1 : Lesson 3 : Why the interest in six sigma methods
Day 1 : Lesson 4 : Why aim as high as sixsigma
Day 1 : Lesson 5 : Importance of reducing veriation
Day 1 : Lesson 6 : A Look a head and overview of DMAIC
Day 2 : Full Session
Day 2 : Lesson 7 : Introduction
Day 2 : Lesson 8 : Introduction of six sigma green belt
Day 2 : Lesson 9 : Vocabulary
Day 3 : Full Session
Day 3 : Lesson 10 : Recap of Six sigma,organisation goal and vocabulary
Day 3 : Lesson 11 : Definition of six sigma
Day 3 : Lesson 12 : The chain of causes
Day 4 : Full Session
Day 4 : Lesson 13 : Recap sixsigma and organisation goal
Day 4 : Lesson 14 : Definition of lean
Day 4 : Lesson 15 : History of lean and lean vs sixsigma
Day 5 : Full Session
Day 5 : Lesson 16 : Recap of definition of lean
Day 5 : Lesson 17 : Principle in organisation lean vs sixsigma
Day 5 : Lesson 18 : The 8 waste
Day 5 : Lesson 19 : Metrics - lean metrics perspective
Day 6 : Full Session
Day 6 : Lesson 20 : Recap of Timwoods,downtime and metrics operation
Day 6 : Lesson 21 : 8 Waste in digital solution Deffect and overproduction
Day 6 : Lesson 22 : 8 Waste in digital solution waiting and Not- utilising talent
Day 6 : Lesson 23 : 8 Waste in digital solution Transpoartation inverntory and motion
Day 6 : Lesson 24 : 8 waste in digital solution Extra processing
Day 7 : Full Session
Day 7 : Lesson 25 : Recap previous session
Day 7 : Lesson 26 : Introduction DMAIC
Day 8 : Full Session
Day 8 : Lesson 27 : Recap of DMAIC
Day 8 : Lesson 28 : What is DMAIC Approch
Day 8 : Lesson 29 : DMAIC,Define
Day 8 : Lesson 30 : DMAIC Measure
Day 9 : Full Session
Day 9 : Lesson 31 : Recap of last session
Day 9 : Lesson 32 : DMAIC Messure well knowfact and four golden rules
Day 9 : Lesson 33 : DMAIC Analyze
Day 9 : Lesson 34 : DMAIC Improve
Day 9 : Lesson 35 : DMAIC Control
Day 9 : Lesson 36 : Define the project
Day 10 : Full Session
Day 10 : Lesson 37 : Recap of define
Day 10 : Lesson 38 : Approach to define and preview of define modules
Day 10 : Lesson 39 : Module 1.1 Starting your project goal
Day 10 : Lesson 40 : Organization context for sigma projects
Day 10 : Lesson 41 : Organisational support and project selection criteria
Day 10 : Lesson 42 : Project worksheet 1 selection and importance of team charters
Day 10 : Lesson 43 : Overview of team charter element
Day 11 : Full Session
Day 11 : Lesson 44 : Recap of last session
Day 11 : Lesson 45 : Problem Oppurtunity statement
Day 11 : Lesson 46 :Business case and categories of business impact
Day 11 : Lesson 47 : Impact Analysis examples
Day 11 : Lesson 48 : Scope
Day 11 : Lesson 49 : Scope example
Day 12 : Full Session
Day 12 : Lesson 50 : Recap of last session
Day 12 : Lesson 51 : Measures and Example of Measures
Day 12 : Lesson 52 : Deliverables and resources
Day 12 : Lesson 53 : Identifying the key players,project roles and responsibilities
Day 13 : Full Session
Day 13 : Lesson 54 : Recap of last session
Day 13 : Lesson 55 : Project roles and responsibilities(Team Leader & Team members)
Day 13 : Lesson 56 : Project roles and responsibilities,cont.(coach or advisor and sponsor)
Day 13 : Lesson 57 : Simple team charterconnect time team
Day 13 : Lesson 58 : Simple team charterconnect time team cont.(Measures,deliverables & rsources)
Day 13 : Lesson 59 : Project worksheet #2 and its cont.
Day 13 : Lesson 60 : Project worksheet 3 potential impact (optional) and refining project definition
Day 14 : Full Session
Day 14 : Lesson 61 : Recap of last session
Day 14 : Lesson 62 : who are your stakeholders and why stakeholders are important
Day 14 : Lesson 63 : Project worksheet #4 preliminary communication plan & a look a head
Day 14 : Lesson 64 : Module 1.2 process basics and you are here
Day 14 : Lesson 65 : Goal and work as a system
Day 14 : Lesson 66 : Processes and SIPOC AND COPIS
Day 15 : Full Session
Day 15 : Lesson 67 : Recap of last session
Day 15 : Lesson 68 : Work as a process & questions to help with SIPOC
Day 15 : Lesson 68 : SIPOC Example
Day 15 : Lesson 69 : Project work sheet #5 SIPOC Analysis & SIPOC Video
Day 16 : Full Session
Day 16 : Lesson 70 : Recap of last session
Day 16 : Lesson 71 : SIPOC Video Project worksheet#5 cont
Day 16 : Lesson 72 : Revisiting your charter, you are here and goals
Day 16 : Lesson 73 : What is the voice of the customer and why voice is critical
Day 16 : Lesson 74 : KANO model
Day 17 : Full Session
Day 17 : Lesson 75 : Recap of last session
Day 17 : Lesson 76 : VOC Process
Day 17 : Lesson 77 : Translate VOC into CTQs and VOC TO CTQ Framework
Day 17 : Lesson 78 : VOC to CTQ Example-1
Day 17 : Lesson 79 : VOC TO CTQ Example 2
Day 17 : Lesson 80 : VOC TO CTQ Example 3
Day 17 : Lesson 81 : VOC TO CTQ Example- 4 and voc-video
Day 18 : Full Session
Day 18 : Lesson 82 : Recap
Day 18 : Lesson 83 : Revisiting your charter
Day 18 : Lesson 84 : You were here and define completion checklist
Day 18 : Lesson 85 : Measure the current situation you are here and options
Day 18 : Lesson 86 : Approach to measure
Day 18 : Lesson 87 : Preview of measure modules
Day 18 : Lesson 88 : Data collection you are here and goal
Day 19 : Full Session
Day 19 : Lesson 89 : Recap
Day 19 : Lesson 90 : How can data help you, by showing what really is and data help us
Day 19 : Lesson 91 : Desired data characteristics
Day 19 : Lesson 92 : 5 Step data collection process
Day 19 : Lesson 93 : Project worksheet #8 data collection plan preview and data collection plan features
Day 19 : Lesson 94 : Data collection plan features cont.
Day 19 : Lesson 95 : Eample of data
Day 19 : Lesson 96 : Where to collect data process or result
Day 20 : Full Session
Day 20 : Lesson 97 : V1- RECAP OF LAST SESSION
Day 20 : Lesson 98 : V1- How can data help you , By showing what Really is, and data help us and desired data charateristics
Day 20 : Lesson 99 : V1- 5 Step data collection process
Day 20 : Lesson 100 : V1- Project worksheet #8 data collection plan
Day 20 : Lesson 101 : V1- Data collection plan features, cont.
Day 20 : Lesson 102 : V1 - Examples of data
Day 20 : Lesson 103 : V1- Where to collect data process or result
Day 20 : Lesson 104 : V1 - Data type - discrete
Day 21 : Full Session
Day 21 : Lesson 105 : Recap
Day 21 : Lesson 106 : Data type continuous and how can you distinguish data type in six sigma
Day 21 : Lesson 107 : Data type
Day 21 : Lesson 108 : Type of data and examples of data
Day 21 : Lesson 109 : Distinguish between continuous percentage And count data and Exercise 2 types of Data
Day 21 : Lesson 110 : Data &type and Summary
Day 22 : Full Session
Day 22 : Lesson 111 : Recap
Day 22 : Lesson 112 : Operational definitions features of an Operational definition and developing a Sampling scheme
Day 22 : Lesson 113 : Representative samples and example of bias
Day 22 : Lesson 114 : MSA Accuracy vs precision
Day 23 : Full Session
Day 23 : Lesson 115 : Six Sigma DMAIC Methodology for green belt Measurement system analysis and objective
Day 23 : Lesson 116 : The relationship (DMAIC)
Day 23 : Lesson 116 : DMAIC and MSA Accuracy vs precision
Day 23 : Lesson 117 : Measurement system analysis
Day 23 : Lesson 118 : Basic model
Day 23 : Lesson 119 : How does measurement error appear
Day 24 : Full Session
Day 24 : Lesson 120 : Recap
Day 24 : Lesson 121 : Terminology and resolution
Day 24 : Lesson 122 : Accuracy
Day 24 : Lesson 123 : Symptoms of an accuracy problem, precision repeatability And repeatability and accuracy
Day 24 : Lesson 124 : Reproducibility and repeatability & reproducibility
Day 24 : Lesson 125 : Relationship between repeatability, reproducibility and test & measurement capability
Day 25 : Full Session
Day 25 : Lesson 126 : Recap
Day 25 : Lesson 127 : Precision to tolerance ratio and Measurement capability index % R&R & effect of % gage R&R
Day 25 : Lesson 128 : Gage R&R Studies, Examples
Day 25 : Lesson 129 : MSAMeasurement system analysis
Day 25 : Lesson 130 : Make reproducibility and repeatability ( R & R) report
Day 26 : Full Session
Day 26 : Lesson 131 : Recap
Day 26 : Lesson 132 : Let’s understand these scenarios
Day 26 : Lesson 133 : Types of measurement system analysis and attribute agreement analysis
Day 26 : Lesson 134 : Steps; continuous data and components of variation
Day 26 : Lesson 135 : Types of variations location variations and spread variation
Day 26 : Lesson 136 : Planning MSA for continuous data
Day 27 : Full Session
Day 27 : Lesson 137 : Recap
Day 27 : Lesson 138 : Identifying patterns overtime and goals
Day 27 : Lesson 139 : Case study Website hits and why is time order important
Day 27 : Lesson 140 : Focus on the variation, what is variation & variation vs specifications
Day 28 : Full Session
Day 28 : Lesson 141 : Recap
Day 28 : Lesson 142 : Types of variation & goal minimize variation
Day 28 : Lesson 143 : Reacting to variation & Improving a stable process
Day 28 : Lesson 144 : Recap lessons about variation
Day 29 : Full Session
Day 29 : Lesson 145 : Recap
Day 29 : Lesson 146 : Matching action to the type of variation
Day 30 : Full Session
Day 30 : Lesson 147 : Recap
Day 30 : Lesson 148 : Results and process
Day 30 : Lesson 149 : Creating & interpreting plots of variation, tools for understanding variation
Day 30 : Lesson 150 : Time plots, Time plot features and time plots uses
Day 30 : Lesson 151 : How to create a time plot & video let’s become kids
Day 30 : Lesson 152 : Finding a median, Exercise of creating a time plot & time series plot- minitab -19
Day 31 : Full Session
Day 31 : Lesson 153 : Recap
Day 31 : Lesson 154 : Signals of special causes on timeplots
Day 31 : Lesson 155 : Exercise 2 Interpreting time plots and exercise answers
Day 31 : Lesson 156 : Signals of special causes on time plots and adding control limits, control chart & what are control limits
Day 32 : Full Session
Day 32 : Lesson 157 : V1Creating and interpreting plots of variation, time plot, time plot features & example of time series plot.
Day 32 : Lesson 158 : V1Time plot uses, how to create a time plot and finding a median
Day 32 : Lesson 159 : V1 Exercise 1 Creating a time plot & signals of special causes on time plots
Day 32 : Lesson 160 : V1 Exercise 2 Interpreting time plots
Day 32 : Lesson 161 : V1 Signal of special causes on time plots, adding control limitscontrol charts & control chart features
Day 32 : Lesson 162 : V1 Control chart uses, how to calculate control limits and things to remember Control chart
Day 33 : Full Session
Day 33 : Lesson 163 : Types of variation & causes of variation
Day 33 : Lesson 164 : Investing common cause variation
Day 33 : Lesson 165 : What we see and what we get (Delivery)
Day 33 : Lesson 166 : What is process capability
Day 33 : Lesson 167 : Two views of a process
Day 33 : Lesson 168 : The normal curve & Statistical meaning of six sigma
Day34 : Full Session
Day 34 : Lesson 169 : Recap
Day 34 : Lesson 170 : Descriptive statistics Vs Inferential statistics
Day 34 : Lesson 171 : Inferential statistics & standard deviation sample
Day 34 : Lesson 172 : Sigma capability, Process capability ratio & Example
Day35: Full Session
Day 35 : Lesson 173 : Standard deviation sample & sigma capability
Day 35 : Lesson 174 : Recap
Day 35 : Lesson 175 : Statistical meaning of Six Sigma
Day 35 : Lesson 176 : Descriptive statistics Vs Inferential statistics & Inferential statistics
Day 35 : Lesson 177 : Standard deviation sample & sigma capability
Day 35 : Lesson 178 : Process capability ratio & Example
Day36: Full Session
Day 36 : Lesson 179 : Example & The components of variation
Day 36 : Lesson 180 : Short term & long term
Day 36 : Lesson 181 : DPMO & Sigma value
Day 36 : Lesson 182 : Units, Opportunities & Defect
Day 36 : Lesson 183 : Total opportunities & Defect per unit example
Day 36 : Lesson 184 : Part per million & sigma value
Day 36 : Lesson 185 : Example engineering applications
Day37: Full Session
Day 37 : Lesson 186 : Hypothesis testing background
Day 37 : Lesson 187 : 1st Hypothesis
Day 37 : Lesson 188 : Examples & 1st Hypothesis
Day 37 : Lesson 189 : second hypothesis
Day 37 : Lesson 190 : failing to reject a null hypothesis
Day 37 : Lesson 191 : Rejecting vs failing to reject & motivation full null
Day38: Full Session
Day 38 : Lesson 192 : Hypothesis testing Background
Day 38 : Lesson 193 : 1st hypothesis and Example
Day 38 : Lesson 194 : Second hypothesis and failing to rejec
Day 38 : Lesson 195 : Rejecting vs Failing to reject & motivation for null hypothesis
Day 38 : Lesson 196 : Null hypothesis
Day 38 : Lesson 197 : Hypothesis summary and Recap
Day 38 : Lesson 198 : The Alternative hypothesis
Day 38 : Lesson 199 : Testing null vs alternative hypothesis 2 group
Day39: Full Session
Day 39 : Lesson 200 : Recap
Day 39 : Lesson 201 : The Alternative hypothesis
Day 39 : Lesson 202 : Testing null vs Alternative hypothesis 2 group & 3 group
Day 39 : Lesson 203 : P-Value explained statistics is everywhere
Day 39 : Lesson 204 : Statistical definition of P-Value and Null hypothesis
Day 39 : Lesson 205 : P-Value ( any value from 0 to 1)
Day40: Full Session
Day 40 : Lesson 206 : Recap
Day 40 : Lesson 207 : P-Value and Significance level
Day 40 : Lesson 208 : Definition P- Value with example
Day 40 : Lesson 209 : Relationships between data on this X-axis and Y-axis
Day 40 : Lesson 210 : Relationship between Green apple and red apple And Gene x and Gene Y
Day41: Full Session
Day 41 : Lesson 211 : Correlation example
Day 41 : Lesson 212 : Minitab setting and scatter plot
Day 41 : Lesson 213 : Correlation apple and gas
Day 41 : Lesson 214 : Example 2 fitted line plot
Day42: Full Session
Day 42 : Lesson 215 : Recap
Day 42 : Lesson 216 : Fitted line plot Minitab
Day 42 : Lesson 217 : Regression analysis stopping distance versus speed
Day 42 : Lesson 218 : Regression analysis stopping distance versus speed
Day 42 : Lesson 219 : Fitted line plot & multiple regression model
Day 42 : Lesson 220 : Analysis of variance & Minitab
Day43: Full Session
Day 43 : Lesson 221 : Recap
Day 43 : Lesson 222 : Example of does and gender impact weight and minitab
Day 43 : Lesson 223 : Regression analysis Weight versus height gender and minitab
Day 43 : Lesson 224 : FMEA-Overview
Day 43 : Lesson 225 : Introduction to FMEA, How we used to do FMEA & APQP
Day 43 : Lesson 226 : FMEA Training plan and what is a risk
Day44: Full Session
Day 44 : Lesson 227 : Recap
Day 44 : Lesson 228 : So what can we do, & Design change profile
Day 44 : Lesson 229 : FMEA (RADAR) & Language of FMEA
Day 44 : Lesson 228 : Definition of FMEA, wot’s an FMEA & FMEA Type
Day 44 : Lesson 229 : FMEA understanding
Day45 : Full Session
Day 45 : Lesson 230 : Recap
Day 45 : Lesson 231 : Production requirements product design the solution & manufacturing
Day 45 : Lesson 232 : key area relationship
Day 45 : Lesson 233 : FMEA types requirement scope and relationship & FMEA
Day 45 : Lesson 234 : FMEA Method step
Day 45 : Lesson 235 : DFMEA Outline
Day46 : Full Session
Day 46 : Lesson 236 : Case study smarter pipes and manifold product
Day 46 : Lesson 237 : Practice Case Study & Exercises functional
Day 46 : Lesson 238 : Examples of functions
Day 46 : Lesson 238 : Examples of functions
Day 46 : Lesson 239 : Function of a fuel pipe & combustor-Boundary Diagram
Day 46 : Lesson 240 : Function & Failure mode
Day 46 : Lesson 241 : Specifying failure mode
Day 46 : Lesson 242 : Step 2 Effects & severity effects
Day 46 : Lesson 243 : Generic product severity criteria step & causes
Day 46 : Lesson 244 : Occurrence ratings
Day 46 : Lesson 245 : Control methods & RPN Calculation
Day47 : Full Session
Day 47 : Lesson 246 : Lean concepts Journey of a world-class football player
Day 47 : Lesson 247 : Power of team work
Day 47 : Lesson 248 : Analogy lean & world-class sprinter & GPS
Day 47 : Lesson 249 : Well-known facts and four golden rules
Day 47 : Lesson 250 : What would you do if your org is not doing well & world-class org
Day 47 : Lesson 251 : Basics & changing perception of customer
Day 47 : Lesson 252 : Business activities & what is value adding
Day 47 : Lesson 253 : How to identify the VA vs NVA in a process
Day 47 : Lesson 254 : In any process we have production styles
Day 47 : Lesson 255 : Beginning of lean & history of lean
Day48 :Full Session
Day 48 : Lesson 256 : Lean concepts & History of lean
Day 48 : Lesson 257 : History of lean
Day 48 : Lesson 258 : What happens when you have excess unwanted fat
Day 48 : Lesson 259 : Welcome to lean & What is lean & Lean steps
Day 48 : Lesson 260 : Where to apply lean & house of lean
Day 48 : Lesson 261 : Bread toasting video
Day 48 : Lesson 262 : Metrics lean metrics perspective
Day 48 : Lesson 263 : Seeing waste need a special eye to see waste
Day49 : Full Session
Day 49 : Lesson 264 : Seeing waste their inefficiencies
Day 49 : Lesson 265 : Likers’ 4p model
Day 49 : Lesson 266 : Six sigma & Lean definitions, how lean & six sigma integrate
Day50 : Full Session
Day 50 : Lesson 267 : Kaizen Concepts
Day 50 : Lesson 268 : Eight waste- Examples & Liker’s 4P model
Day 50 : Lesson 269 : Six Sigma & Lean Definitions, How lean & Six Sigma Integrate
Day 50 : Lesson 270 : Waste hides problems reducing & Eliminating waste
Day 50 : Lesson 271 : Don’t forget
Day 50 : Lesson 272 : Illogical lean thinking
Day 50 : Lesson 273 : Lean vs conventional & what is lean is not about & push vs pull
Day51 : Full Session
Day 51 : Lesson 274 : Introduction to VSM & current state value stream
Day 51 : Lesson 275 : Future state value stream
Day 51 : Lesson 276 : What is the value stream & The flow rule
Day 51 : Lesson 277 : 8 type of Waste
Day 51 : Lesson 278 : Key stages value stream mapping & select one product family
Day 51 : Lesson 279 : Product process matrix
Day52 : Full session