Certification In Quality Control Management

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