The 7 QC Tools (Effective Problem Solving)

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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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!