Last updated 2/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 222.69 MB | Duration: 0h 46m Gain a good understanding on the concepts of the Analyze phase of Six Sigma
What you'll learn Analyze phase of Six Sigma DMAIC Process Activities in Analyze phase Root cause analysis 5-Why Analysis How to conduct Brainstorming Data Stratification FMEA (Failure mode and effect analysis) Correlation and Regression Gap Analysis Requirements There are no special prerequisites for taking this course. What is needed is a will to learn and expand your knowledge Description Dear Learners,I welcome you to this course on "Six Sigma- The Analyze Phase". I have prepared separate lectures covering each of the five phases in your Six Sigma journey (DMAIC methodology), to enable learners with shorter time to grasp all topics with ease. This course is covered in "11 short duration lectures" and cover the major topics in the Analyze phase of the Six Sigma. This phase of Six Sigma is very crucial because here you narrow down the critical X's (or inputs) impacting your process performance (or Y). Your team will review all the data which you have collected in the measure phase of Six Sigma. This course is suitable for learners coming from a variety of backgrounds, both technical as well as non-technical. I am confident that the knowledge gained through this course will help you in your journey of Six sigma and process excellence.Lecture-1Introduction Lecture-2• Activities in Analyze phaseLecture-3• Understanding what is meant by Root cause• How to perform Root cause analysisLecture-4• The 5-Why analysis• Practical illustrations of 5-Why analysisLecture-5• Brain-storming• Approach to Brain-stormingLecture-6• Data stratification• How to execute Data stratificationLecture-7• FMEA (Failure mode and effect analysis)• FMEA process and the rating scaleLecture-8• Practical illustrations of the FMEA in real lifeLecture-9• Understanding correlation• Correlation coefficient and uses of correlation study Lecture-10• Understanding regression• Simple linear and multiple linear regressionLecture-11• What is Gap analysisLecture-12• Course summaryWish you an enjoyable learning experience.Parag Dadeech Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Activities in Analyze phase Lecture 3 Root cause analysis Lecture 4 The 5-Why analysis Lecture 5 Brainstorming Lecture 6 Data stratification Lecture 7 FMEA (Failure mode and effect analysis) Lecture 8 Practical illustrations of FMEA Lecture 9 Correlation Lecture 10 Regression Lecture 11 Gap Analysis Lecture 12 Summary The course is suitable to learners coming from a variety of backgrounds such as: operations, manufacturing, supply chain, and also service sectors