Introduction To Lean Six Sigma

[LeeAndro]

Last updated 5/2021MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.04 GB | Duration: 1h 22m

Foundation of Lean Six Sigma and Quality Management

What you'll learn
Lean six sigma and foundation of quality
Requirements
No prerequisites
Description
In this course you will learn fundaments of quality and process management, key principles of lean six sigma, DMAIC and SIPOC frameworks.​

Instruction to Project management and how it is aligned with DMAIC. In addition, you will be able to evaluate process, identify types of waste, apply statistics for process data analysis and use analysis tools to evaluate and prioritize recommended improvements.In addition, the course will teach you how to use excel for statistics, flow diagram and data visualization.You will learn process evaluation, types of waste, introduction to statistics, analysis tools, and barnstog techniques.The course includes a practical project that will help you to learn applying principles of lean six sigma, and will equip you with template for future projects. The project will start with a problem statement, and we will walk through all phases from initiation, planning, analysis and at the end we will prepare recommendations and evaluate and prioritize proposed solution.The course is great for bners and individuals who need a quick six sigma refresher course. If you are a project manager and would like to get understanding of Six Sigma, or you are working on a lean team and would like to be able to navigate six sigma tools and lingo.

Overview

Section 1: Course Outline

Lecture 1 Course Outline

Section 2: Introduction

Lecture 2 What is quality and quality cost

Lecture 3 Quality Management Systems

Lecture 4 What is six sigma

Section 3: Framework

Lecture 5 DMAIC Framework

Lecture 6 Introduction to SIPOC

Lecture 7 Excel Flowchart

Section 4: Project Management and DMAIC

Lecture 8 Project Initiation

Lecture 9 Project Planning

Lecture 10 Project Charter

Section 5: Process Analysis

Lecture 11 Process evaluation

Lecture 12 Type of waste

Lecture 13 Introduction to statistics

Lecture 14 Intuition of statistics

Lecture 15 Data visualization

Lecture 16 Excel descriptive statistics

Lecture 17 Analysis tools

Lecture 18 Brainstog

Lecture 19 Sustaining

Section 6: Project

Lecture 20 Cool Oil Project

Lecture 21 Final Word

bners to six sigma, quality analysis, managers

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