Overview

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-1Introduction Lecture-2• Problem solving approaches• What are the 7 QC Tools and why they are used• Historical perspectiveLecture-3• Understanding Problem statement• How do you select problem areas for improvementLecture-4• What is Root cause• Tool-1: Cause and effect diagram or Fish bone diagram• Practical illustration of the C & E diagramLecture-5• Tool-2: Understanding Check sheets• Type of check sheets and how to deploy themLecture-6• Tool-3: Histogram• Benefits of HistogramLecture-7• Practical illustration of Histogram• Do it exercise and interpreting resultsLecture-8• Understanding the spread of your data• Normal, Bimodal, Skewed and Random distributions• Practical areas where Histogram can be deployedLecture-9• Tool-4: Pareto chart• Origin of Pareto chart and understanding ParetoLecture-10• Practical illustration of Pareto• Do it exercise and interpreting resultsLecture-11• Tool-5: Scatter plots or Correlation chart• What is Correlation coefficient and what does it tell usLecture-12• Illustration of correlation chart• Uses of correlation study• Correlation does not always imply causationLecture-13• Tool-6: Understanding Control charts• Why do we use Control chartsLecture-14• What are Common causes and Special causes• Some practical illustrations and How to interpret Common and Special causesLecture-15• Interpretation of "out of control signals"Lecture-16• Tool-7: Data stratificationLecture-17• Course summaryWish you an enjoyable learning experience.

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