Lean Six Sigma Green Belt
5.0(8 Reviews)
Author
Dr Lean Murali
Lean Master Coach
Over 30 years experience in Lean Training | Consulting | Coaching
Alumnus : IIM-Bangalore | BITS-Pilani
Visit: https://leanmurali.com/about
Course program
Duration 36 h 42 m 13 s
Chapter 1 : What is Six Sigma? : Presentation0 sChapter 2 : Six Sigma History & Application : Presentation0 sChapter 3 : Other Process Improvement & Quality methods : Presentation0 sChapter 4 : Lean Concepts : Presentation0 sChapter 5 : Basix Six Sigma Concepts : Presentation0 sChapter 6 : Approaching the problem : Presentation0 sChapter 7 : What is a Process? : Presentation0 sChapter 8 : Quality : Presentation0 sChapter 9 : Selecting the right projects : Presentation0 sChapter 10 : Basic Six Sigma Team Management : Presentation0 sChapter 11 : Introduction to DMAIC & DMADV : Presentation0 sChapter 12 : DEFINE : Presentation0 sChapter 13 : SAMPLING METHODS : Presentation0 sChapter 14 : Analyze : Presentation0 sChapter 15 : Improve : Presentation0 sChapter 16 : CONTROL : Presentation0 sChapter 17 : Intermediate Graphical Analysis0 sChapter 18 :Normal Probability Distributions0 sChapter 19 :Correlation & Regression0 s
Day 1 : Lesson 1 : Goals of Six Sigma3 m 36 sDay 1 : Lesson 2 : What is Six Sigma11 m 34 sDay 1 : Lesson 3 : Why the interest in Six Sigma methods9 m 5 sDay 1 : Lesson 4 : Why aim as high as sixsigma5 m 45 sDay 1 : Lesson 5 : Importance of reducing veriation9 m 34 sDay 1 : Lesson 6 : A Look a head and overview of DMAIC6 m 32 sDay 6 : Lesson 20 : Recap of Timwoods, downtime and metrics operation13 m 34 sDay 6 : Lesson 21 : 8 Waste in digital solution Defect and Overproduction7 m 9 sDay 6 : Lesson 22 : 8 Waste in digital solution waiting and not Utilizing talent16 m 26 sDay 6 : Lesson 23 : 8 Waste in digital solution Transportation inventory and motion5 m 44 sDay 6 : Lesson 24 : 8 Waste in digital solution Extra Processing2 m 8 sDay 10 : Lesson 37 : Recap of Define4 m 27 sDay 10 : Lesson 38 : Approach to define and preview of define Modules4 m 7 sDay 10 : Lesson 39 : Module 1.1 Starting your project goal5 m 8 sDay 10 : Lesson 40 : Organization context for sigma projects5 m 1 sDay 10 : Lesson41 : Organizational support and Project selection criteria7 m 58 sDay 10 : Lesson 42 : Project worksheet 1 selection and importance of team charecters5 m 56 sDay 10 : Lesson 43 : Overview of team charter element2 m 41 sDay 11 : Lesson 45 : Recap of Last session13 m 44 sDay 11 : Lesson 45 : Problem Opportunity statement7 m 25 sDay 11 : Lesson 46 : Business Case and categories of Business impact10 m 20 sDay 11 : Lesson 47 : Impact Analysis examples3 m 2 sDay 11 : Lesson 48 : Scope7 m 43 sDay 11 : Lesson 49 : Scope example3 m 34 sDay 13 : Lesson 54 : Recap of Last Session8 m 18 sDay 13 : Lesson 55 : Project roles & responsibilities (Team Leader & Team Members)7 m 50 sDay 13 : Lesson 56 : Project Roles & Responsibilities,cont.(Coach or adviser and Sponsor)8 m 4 sDay 13 : Lesson 57 : Simple team charterconnect time team6 m 15 sDay 13 : Lesson 58 : Simple team charterconnect time team cont. (Measures, deliverables & resources)2 m 18 sDay 13 : Lesson 59 : Project worksheet #2 and its cont.9 m 4 sDay 13 : Lesson 60 : Project worksheet 3 potential impact (optional) and refining project definition2 m 10 sDay 14 : Lesson 61 : Recap of Last Session3 m 26 sDay 14 : Lesson 62 : who are your stakeholders and why stakeholders are important1 m 57 sDay 14 : Lesson 63 : Project worksheet #4 preliminary communication plan & a look a head2 m 15 sDay 14 : lesson 64 : Module 1.2 process basics and you are here14 m 3 sDay 14 : Lesson 65 : Goal and work as a system5 m 39 sDay 14 : Lesson 66 : Processes and SIPOC AND COPIS14 m 52 sDay 16 : Lesson 71 : Recap of Last Session7 m 10 sDay 16 : Lesson 72 : SIPOC Video Project worksheet #5 cont7 m 21 sDay 16 : Lesson 73 : Revisiting your charter, you are here and goals10 m 9 sDay 16 : Lesson 74 : What is the voice of customer and why voice is critical4 m 49 sDay 16 : Lesson 75 : KANO model14 m 15 sDay 17 : Lesson 76 : Recap of Last Session13 m 14 sDay 17 : Lesson 77 : VOC Process3 m 45 sDay 17 : Lesson 78 : Translate VOC into CTQs and VOC to CTQ Framework4 m 14 sDay 17 : Lesson 79 : VOC to CTQ Example-15 m 40 sDay 17 : Lesson 80 : VOC to CTQ Example-23 m 34 sDay 17 : Lesson 81 : VOC to CTQ Example-34 m 21 sDay 17 : Lesson 82 : VOC to CTQ Example-4 and voc-video6 m 29 sDay 18 : Lesson 83 : Recap5 m 48 sDay 18 : Lesson 84 : Revisiting your charter3 m 3 sDay 18 : Lesson 85 : You were here and define completion3 m 49 sDay 18 : Lesson 86 : Measure the current situation you are here and options12 m 53 sDay 18 : Lesson 87 : Approach to measure10 m 57 sDay 18 : Lesson 88 : Preview of measure modules3 m 5 sDay18 :Lesson 89 : Data collection you are here and goal4 m 4 sDay 19 : Lesson 90 : Recap9 m 49 sDay 19 : Lesson 91 : How can data help you, by showing what really is and data help us5 m 48 sDay 19 : Lesson 92 : Desired data characteristics2 m 27 sDay 19 : Lesson 93 : 5 Step data collection process3 m 22 sDay 19 : Lesson 94 : Project worksheet #8 data collection plan preview and data collection plan features5 m 55 sDay 19 : Lesson 95 : Data collection plan features cont.2 m 52 sDay 19 : Lesson 96 : Example of data11 m 5 sDay 19 : Lesson 97 : Where to collect data process or result3 m 37 sDay 20 : Lesson 98 : RECAP OF LAST SESSION9 m 25 sDay 20 :Lesson 99 : How can data help you , By showing what Really is, and data help us and desired data charateristics9 m 16 sDay 20 : Lesson 100 : 5 Step data collection process4 m 41 sDay 20 : Lesson 101 : Project worksheet #8 data collection plan3 m 10 sDay 20 : Lesson 102 : Data collection plan features, cont1 m 34 sDay 20 : Lesson 103 : Examples of data4 m 6 sDay 20 : Lesson 104 : Where to collect data process or result6 m 31 sDay 20 : Lesson 105 : Data type - discrete8 m 28 sDay 21 : Lesson 106 : Recap19 m 57 sDay 21 : Lesson 107 : Data type continuous and how can you distinguish data type in six sigma1 m 50 sDay 21 : Lesson 108 : Data type5 mDay 21 : Lesson 109 : Type of data and examples of data4 m 47 sDay 21 : Lesson 110 : Distinguish between continuous percentage And count data and Exercise 2 types of Data2 m 59 sDay 21 : Lesson 111 : Data &type and Summary6 m 53 sDay 23 : Lesson 116 : Six Sigma DMAIC Methodology for green belt Measurement system analysis and objective15 m 11 sDay 23 : Lesson 117 : The relationship (DMAIC)10 m 51 sDay 23 : Lesson 118 : DMAIC and MSA Accuracy vs precision9 m 18 sDay 23 : Lesson 119 : Measurement system analysis13 m 44 sDay 23 : Lesson 120 : Basic model5 m 53 sDay 23 : Lesson 121 : How does measurement error appear3 m 56 sDay 24 : Lesson 122 : Recap17 m 39 sDay 24 : Lesson 123 : Terminology and resolution5 m 21 sDay 24 : Lesson 124 : Accuracy7 m 1 sDay 24 : Lesson 125 : Symptoms of an accuracy problem, precision repeatability And repeatability and accuracy7 m 36 sDay 24 : Lesson 126 : Reproducibility and repeatability & reproducibility4 m 28 sDay 24 : Lesson 127 : Relationship between repeatability, reproducibility and test & measurement capability7 m 50 sDay 25: Lesson 128 : Recap14 m 24 sDay 25 : Lesson 129: Precision to tolerance ratio and Measurement capability index gage R&R4 m 51 sDay 25 : Lesson 130 : Gage R&R Studies, Examples4 m 37 sDay 25 : Lesson 131 : MSA Measurement system analysis14 m 14 sDay 25 : Lesson 132 : Make reproducibility and repeatability9 m 3 sDay 26 : Lesson 133 : Recap12 m 11 sDay 26 : Lesson 134 : Let’s understand these scenarios6 m 36 sDay 26 : Lesson 135 : Types of measurement system analysis and attribute agreement analysis7 m 53 sDay 26 : Lesson 136 : Steps; continuous data and components of variation4 m 29 sDay 26 : Lesson 137 : Types of variations location variations and spread variation6 m 35 sDay 26 : Lesson 138 : Planning MSA for continuous data12 m 55 sDay 30 : Lesson 149 : Recap13 m 49 sDay :30 : Lesson 150 : Results and process7 m 34 sDay 30 : Lesson 151 : Creating & interpreting plots of variation, tools for understanding variation3 m 23 sDay 30 : Lesson 152 : Time plots, Time plot features and time plots uses4 m 22 sDay 30 : Lesson 153 : How to create a time plot & video let’s become kids8 m 28 sDay 30 : Lesson 154 : Finding a median, Exercise of creating a time plot & time series plot- minitab - 198 m 16 sDay 31 : Lesson 155 : Recap14 m 56 sDay 31 : Lesson 156 : Signals of special causes on timeplots4 m 47 sDay 31 : Lesson 157 : Exercise 2 Interpreting time plots and exercise answers10 m 3 sDay 31 : Lesson 158 : Signals of special causes on time plots and adding control limits, control chart & what are control limits7 m 21 sDay 32 : Lesson 159 : V1Creating and interpreting plots of variation, time plot, time plot features & example of time series plot8 m 4 sDay 32 : Lesson 160 : V1Time plot uses, how to create a time plot and finding a median5 m 54 sDay 32 : Lesson 161 : V1 Exercise 1 Creating a time plot & signals of special causes on time plots5 m 55 sDay 32 : Lesson 162 : V1 Exercise 2 Interpreting time plots6 m 59 sDay 32 : Lesson 163 : V1 Signal of special causes on time plots, adding control limitscontrol charts & control chart features4 m 51 sDay 32 : Lesson 164 : V1 Control chart uses, how to calculate control limits and things to remember Control chart10 m 36 sDay 33 : Lesson 165 : Types of variation & causes of variation4 m 7 sDay 33 : Lesson 166 : Investing common cause variation4 m 52 sDay 33 : Lesson 167 : What we see and what we get (Delivery)15 m 30 sDay 33 : Lesson 168 : What is process capability4 m 52 sDay 33 : Lesson 169 : Two views of a process5 m 36 sDay 33 : Lesson 170 : The normal curve & Statistical meaning of six sigma7 m 3 sDay 35 : Lesson 176 : Recap8 m 25 sDay 35 : Lesson 177 : Statistical meaning of Six Sigma5 m 53 sDay 35 : Lesson 178 : Descriptive statistics Vs Inferential statistics & Inferential statistics5 m 2 sDay 35 : Lesson 179 : Standard deviation sample & sigma capability7 m 30 sDay 35 : Lesson 180 : Process capability ratio & Example14 m 33 sDay 36 : Lesson 181 : Example & The components of variation3 m 54 sDay 36 : Lesson 182 : Short term & long term4 m 31 sDay 36 : Lesson 183 : DPMO & Sigma value10 m 3 sDay 36 : Lesson 184 : Units, Opportunities & Defect4 m 5 sDay 36 : Lesson 185 : Total opportunities & Defect per unit example9 m 52 sDay 36 : Lesson 186 : Part per million & sigma value6 m 41 sDay 36 : Lesson 187 : Example engineering applications4 m 20 sDay 37 : Lesson 188 : Hypothesis testing background13 m 16 sDay 37 : Lesson 189 : 1st Hypothesis3 m 19 sDay 37 : Lesson 190 : Examples & 1st Hypothesis8 m 2 sDay 37 : Lesson 191 : second hypothesis6 m 36 sDay 37 : Lesson 192 : failing to reject a null hypothesis4 m 14 sDay 37 : Lesson 193 : Rejecting vs failing to reject & motivation full null3 m 9 sDay 38 : Lesson 194 : Hypothesis testing Background6 m 28 sDay 38 : Lesson 195 : 1st hypothesis and Example4 m 58 sDay 38 : Lesson 196 : Second hypothesis and failing to rejec6 m 29 sDay 38 : Lesson 197 : Rejecting vs Failing to reject & motivation for null hypothesis2 m 54 sDay 38 : Lesson 198 : Null hypothesis8 m 4 sDay 38 : Lesson 199 : Hypothesis summary and Recap2 m 22 sDay 38 : Lesson 200 : The Alternative hypothesis5 m 35 sDay 38 : Lesson 201 : Testing null vs alternative hypothesis 2 group7 m 7 sDay 39 : Lesson 202 : Recap6 m 10 sDay 39 : Lesson 203 : The Alternative hypothesis4 m 16 sDay 39 : Lesson 204 : Testing null vs Alternative hypothesis 2 group & 3 group9 m 29 sDay 39 : Lesson 205 : P-Value explained statistics is everywhere5 m 16 sDay 39 : Lesson 206 : Statistical definition of P-Value and Null hypothesis4 m 40 sDay 39 : Lesson 207 : P-Value ( any value from 0 to 1)7 m 43 sDay 40 : Lesson 208 : Recap11 m 46 sDay 40 : Lesson 209 : P-Value and Significance level5 m 50 sDay 40 : Lesson 210 : Definition P- Value with example6 m 15 sDay 40 : Lesson 211 : Relationships between data on this X-axis and Y-axis2 m 54 sDay 40 : Lesson 212 : Relationship between Green apple and red apple And Gene x and Gene Y12 m 58 sDay 42 : Lesson 217 : Recap13 m 22 sDay 42 : Lesson 218 : Fitted line plot Minitab12 m 42 sDay 42 : Lesson 219 : Regression analysis stopping distance versus speed4 m 30 sDay 42 : Lesson 220 : Fitted line plot & multiple regression model3 m 25 sDay 42 : Lesson 221 : Analysis of variance & Minitab9 m 37 sDay 43 : Lesson 222 : Recap5 m 40 sDay 43 : Lesson 223 : Example of does and gender impact weight and minitab12 mDay 43 : Lesson 224 : Regression analysis Weight versus height gender and minitab9 m 28 sDay 43 : Lesson 225 : FMEA-Overview8 m 20 sDay 43 : Lesson 226 : Introduction to FMEA, How we used to do FMEA & APQP4 m 46 sDay 43 : Lesson 227 : FMEA Training plan and what is a risk4 m 46 sDay 45 : Lesson 233 : Recap11 m 21 sDay 45 : Lesson 234 : Product requirements product design the solution & manufacturing4 m 24 sDay 45 : Lesson 235 : key area relationship6 m 5 sDay 45 : Lesson 236 : FMEA types requirement scope and relationship & FMEA5 m 30 sDay 45 : Lesson 237 : FMEA Method step9 m 42 sDay 45 : Lesson 238 : DFMEA Outline4 m 39 sDay 46 : Lesson 239 : Case study _ smarter pipes and manifold product4 m 7 sDay 46 : Lesson 240 : Practice Case Study & Exercises functional4 m 14 sDay 46 : Lesson 241 : Examples of functions4 m 6 sDay 46 : Lesson 242 : Function of a fuel pipe_& combustor-Boundary Diagram4 m 4 sDay 46 : Lesson 243 : Function & Failure mode2 m 58 sDay 46 : Lesson 244 : Specifying failure mode3 m 53 sDay 46 : Lesson 245 : Step 2 Effects & severity effects3 m 24 sDay 46 : Lesson 246 : Generic product severity criteria step & causes4 m 43 sDay 46 : Lesson 247 : Occurrence ratings3 m 2 sDay 46 : Lesson 248 : Control methods & RPN Calculation7 m 53 sDay 47 : Lesson 249 : Lean concepts Journey of a world-class football player7 m 35 sDay 47 : Lesson 250 : Power of team work3 m 14 sDay 47 : Lesson 251 : Analogy lean & world-class sprinter & GPS6 m 17 sDay 47 : Lesson 252 : Well-known facts and four golden rules4 m 21 sDay 47 : Lesson 253 : What would you do if your org is not doing well & world-class org3 m 27 sDay 47 : Lesson 254 : Basics & changing perception of customer2 m 26 sDay 47 : Lesson 255 : Business activities & what is value adding_3 m 49 sDay 47 : Lesson 256 : How to identify the VA vs NVA in a process4 m 14 sDay 47 : Lesson 257 : In any process we have production styles2 m 54 sDay 47 : Lesson 258 : Beginning of lean & history of lean3 m 57 sDay 48 : Lesson 259 : Lean concepts & History of lean5 m 5 sDay 48 : Lesson 260 : History of lean3 mDay 48 : Lesson 261 : What happens when you have excess unwanted fat3 m 9 sDay 48 : Lesson 262 : Welcome to lean & What is lean_ & Lean steps3 m 59 sDay 48 : Lesson 263 : Where to apply lean_ & house of lean8 m 26 sDay 48 : Lesson 264 : Bread toasting video8 m 23 sDay 48 : Lesson 265 : Metrics lean metrics perspective4 m 14 sDay 48 : Lesson 266 : Seeing waste need a special eye to see waste2 m 6 sDay 50 : Lesson 270 : Kaizen Concepts3 m 59 sDay 50 : Lesson 271 : Eight waste- Examples & Liker’s 4P model2 m 46 sDay 50 : Lesson 272 : Six Sigma & Lean Definitions, How lean & Six Sigma Integrate2 m 22 sDay 50 : Lesson 273 : Waste hides problems reducing & Eliminating waste4 m 6 sDay 50 : Lesson 274 : Don’t forget.mp42 m 58 sDay 50 : Lesson 275 : Illogical lean thinking15 m 32 sDay 50 : Lesson 276 : Lean vs conventional & what is lean is not about & push vs pull4 m 16 sDay 51 : Lesson 277 : Introduction to VSM & current state value stream6 m 52 sDay 51 : Lesson 278 : Future state value stream12 m 12 sDay 51 : Lesson 279 : What is the value stream_ & The flow rule4 m 35 sDay 51 : Lesson 280 : 8 type of Waste4 m 55 sDay 51 : Lesson 281 : Key stages value stream mapping & select one product family8 m 3 sDay 51 : Lesson 282 : Product process matrix5 m 30 s
Certificate
A certificate is given at the end of the course.
Lean Six Sigma Green Belt
5.0(8 Reviews)
Author
Dr Lean Murali
Lean Master Coach
Over 30 years experience in Lean Training | Consulting | Coaching
Alumnus : IIM-Bangalore | BITS-Pilani
Visit: https://leanmurali.com/about
₹ 19999₹ 29999-33%
Buy now ₹ 19999 5.0(8 Reviews)