What you'll learn
Learn thoroughly the "Control phase" of Six Sigma phase
DMAIC process of Six Sigma
Different Types of control methods
Control charts for continuous and discrete data
Understanding the common causes and special causes
Control charts
Poka yoka (best control method)
Requirements
There are no special prerequisites for taking this course. What is needed is the curiosity and the will to expand and grow your knowledge.
Description
Dear Learners,Welcome to this course on "Six Sigma-The Control Phase". I have prepared separate lectures covering each of the five phases in your Six Sigma journey (DMAIC methodology), to enable learners with shorter to grasp all topics with ease. This course is covered in "10 short duration lectures" and cover the major elements in the control phase of the Six Sigma. The focus of the control phase, is to ensure that our process continues to work well, produce desired output results & maintain desired quality. Here, we try to ensure that all the actions created in the earlier "improve phase" are well implemented and maintained. 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 Goal of the Control phaseLecture-3 Type of control methodsLecture-4 Understanding common cause and special cause Practical illustrationsLecture-5 Procedure for control chartsLecture-6 Selection of control chartLecture-7 Control chart for continuous dataLecture-8 Xbar-R control chart Practical illustration of Xbar-R control chartLecture-9 Control chart for discrete data Practical illustration of control chart for discrete dataLecture-10 Poka Yoka (best control method)Lecture-11 Lecture summaryWish you all an enjoyable learning experience.Parag Dadeech

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Goal of control phase

Lecture 3 Types of control methods

Lecture 4 Understanding common causes and special causes

Lecture 5 procedure for control charts

Lecture 6 selection of control charts

Lecture 7 control chart for continuous data

Lecture 8 Xbar-R control chart

Lecture 9 control chart for discrete data

Lecture 10 Poka yoka (best control method)

Lecture 11 summary

The course is suitable to learners and professionals coming from a variety of backgrounds such as: supply chain, operations, technical, marketing, manufacturing and service sectors. The tools taught in this course are universal in approach and deployment.

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