The 7 QC Tools (Effective Problem Solving)

Description

Dear Learners,

Welcome to this course on the "7 QC Tools". These are simple yet powerful and effective tools for problem solving, with a wide applicability across different sectors, whether it is manufacturing or service sector. I believe that every member of your team, who is involved in problem solving of any nature, should have a good insight and exposure on using these "7 QC Tools". It also helps you to drill down the data from your product or process more effectively to gain a stronger insight on the problems.

This course is covered in "16 nicely spaced lectures" of about "3 minutes to 6 minutes" duration. I am Parag Dadeech, with extensive leadership experience across diversified business sectors. I have lived and worked in the US, SE Asia and India and have led a gamut of high value business projects (green field as well brown field), operational excellence engagements, as well as Technology joint ventures.

Wishing you an enjoyable learning experience.

The 7 QC Tools:

Lecture-1

Introduction

Lecture-2

• Problem solving approaches

• What are the 7 QC Tools and why they are used

• Historical perspective

Lecture-3

• Understanding Problem statement

• How do you select problem areas for improvement

Lecture-4

• What is Root cause

• Tool-1: Cause and effect diagram or Fish bone diagram

• Practical illustration of the C & E diagram

Lecture-5

• Tool-2: Understanding Check sheets

• Type of check sheets and how to deploy them

Lecture-6

• Tool-3: Histogram

• Benefits of Histogram

Lecture-7

• Practical illustration of Histogram

• Do it exercise and interpreting results

Lecture-8

• Understanding the spread of your data

• Normal, Bimodal, Skewed and Random distributions

• Practical areas where Histogram can be deployed

Lecture-9

• Tool-4: Pareto chart

• Origin of Pareto chart and understanding Pareto

Lecture-10

• Practical illustration of Pareto

• Do it exercise and interpreting results

Lecture-11

• Tool-5: Scatter plots or Correlation chart

• What is Correlation coefficient and what does it tell us

Lecture-12

• Illustration of correlation chart

• Uses of correlation study

• Correlation does not always imply causation

Lecture-13

• Tool-6: Understanding Control charts

• Why do we use Control charts

Lecture-14

• What are Common causes and Special causes

• Some practical illustrations and How to interpret Common and Special causes

Lecture-15

• Interpretation of "out of control signals"

Lecture-16

• Tool-7: Data stratification

Lecture-17

• Course summary

Wish you an enjoyable learning experience.

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