Year: 2024 Author: Udemy Language: English Playtime: 4h 45m Quality: WEB-DL Format: MP4 Video codec: AVC/H.264 Audio codec: AAC Video: 1920x1080 Audio: 44.1 KHz Description: 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.
Contents
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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Certification In Quality Control Management
Author: Udemy
Language: English
Playtime: 4h 45m
Quality: WEB-DL
Format: MP4
Video codec: AVC/H.264
Audio codec: AAC
Video: 1920x1080
Audio: 44.1 KHz
Description: 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.
Contents
OverviewSection 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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