Learn Quality Control Concepts with Numerical Examples/Exercises
What you'll learn
Quality control management
Total quality management
Statistical Concepts in Quality Control
Numerical Examples
Quality control tools
Acceptance sampling
Process capability analysis
Six sigma
Control charts
Requirements
Eager to learn
Description
The Certification in Quality Control Management course offers an in-depth exploration of quality management principles, equipping participants with the skills to enhance organizational quality standards. The course begins by introducing the Dimensions of Quality, covering both Product and Service Quality, followed by an examination of The Determinants of Quality and the roles and responsibilities associated with maintaining high standards. Students will explore the impact of quality lapses through discussions on The Consequences of Poor Quality and The Costs of Quality.The course progresses with an overview of the Evolution of Quality Management (QM), leading into Modern Quality Management concepts and a detailed study of Total Quality Management (TQM), including its key elements and a comparison between TQM vs Traditional Organizations. Practical applications of Quality Control techniques are emphasized, with comprehensive instruction on Control Charts, R Charts, and P Charts, supported by Numerical Examples.Participants will also engage with essential quality tools such as Flowcharts, Histograms, Pareto Principle, Scatter Diagrams, and Cause-and-Effect Diagrams. The course covers Acceptance Sampling and various Sampling Plans, ensuring a solid grasp of concepts like Process Capability Analysis and the Central Limit Theorem. The curriculum culminates with a deep dive into Six Sigma, including its components, methodology, and practical implementation, alongside exercises on calculating Defects Per Million Opportunities (DPMO). Upon completion, learners will be proficient in driving quality improvements and ensuring excellence in organizational processes.
Overview
Section 1: Introduction to quality
Lecture 1 Introduction
Lecture 2 Dimensions of Product Quality
Lecture 3 Dimensions of Service Quality
Lecture 4 The Determinants of Quality
Lecture 5 Responsibility for Quality
Lecture 6 Consequences of Poor Quality
Section 2: Total Quality Management
Lecture 7 The Costs of Quality
Lecture 8 Evolution of QM
Lecture 9 Modern quality management
Lecture 10 Total Quality Management
Lecture 11 Brief Description of TQM
Lecture 12 ELEMENTS of TQM
Lecture 13 TQM vs traditional organizations
Section 3: Statistical Concepts in Quality Control
Lecture 14 Quality Control
Lecture 15 Control charts
Lecture 16 Control charts for variables
Lecture 17 Table of control chart constraints
Lecture 18 R charts
Lecture 19 P chart and Numerical Example
Lecture 20 Control charts for attributes and p charts
Lecture 21 Numerical Example 2
Lecture 22 c - chart
Lecture 23 Numerical Example 3
Lecture 24 Run test and Numerical Example p1
Lecture 25 Run test and Numerical Example p2
Lecture 26 Numerical Example 5
Section 4: Quality Control Tools
Lecture 27 Quality control tools
Lecture 28 Flowcharts
Lecture 29 Check sheets
Lecture 30 Histogram
Lecture 31 Pareto principle
Lecture 32 Scatter diagram
Lecture 33 Control charts
Lecture 34 Cause-and-effect diagram
Section 5: Acceptance Sampling
Lecture 35 Acceptance sampling
Lecture 36 Numerical example
Lecture 37 Sampling plan
Lecture 38 Single sampling plan
Lecture 39 Double sampling plan
Lecture 40 Multiple sampling plans
Lecture 41 Operating characteristic curve
Lecture 42 AQL- Accepted Quality level
Section 6: Process Capability
Lecture 43 Operating characteristic curve of proportion
Lecture 44 Sampling distribution and process distribution
Lecture 45 Central limit theorem
Lecture 46 Process capability analysis
Lecture 47 Three cases of process variability
Lecture 48 Capability index
Lecture 49 Numerical example process capabilities
Section 7: Six Sigma
Lecture 50 Intro to six sigma
Lecture 51 Six sigma components
Lecture 52 Six sigma implementation
Lecture 53 Six sigma methodology
Lecture 54 Defects per million opportunities
Lecture 55 Numerical dpmo
Quality Technicians, Quality Engineers, Quality Managers, Project Quality Managers and others in the field of Quality Management.,Anyone currently working for a company who wants to improve operational performance,Anyone who owns a business / manages a department and wants to deliver quality throughout,Anyone who wants to upskill in the field of quality and improvement,Anyone who wants to leave the course with full confidence in delivering projects to improve quality

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