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Quality for Operations and Project Managers

Quality for Operations and Project Managers

The course "Quality for Operations and Project Managers" is a course dedicated only to quality management principles and statistical process control. Project Managers, Operations Manager, and other managers and people within the company are actively involved in quality management, inspection, and assessment.

Quality has become a very important element in competition, and producing quality products and/or services can make the difference.

In this course, we introduce the definition of quality, describe the difference between quality and grade, and why quality is so important today. There is a historical overview of quality management, and the accomplishments of the quality gurus are explained.

Quality also involves statistical methods, and a part of the course is dedicated to repeating the different aspects of statistics that you have to understand when dealing with quality. We look back at statistical parameters such as the mean, median, and mode; standard deviation and variance; and the normal distribution, its use, and interpretation. In this part, we also introduce the Seven Basic Quality Tools.

Since quality management also involves sampling, these principles are reviewed, including hypothesis testing, which is also on the basis of statistical process control or SPC.

Evaluation of processes is important, and we have to verify if the selected process is capable of providing the desired quality output. Evaluating the capability of the process can be done using the Process Capability Ratio and its sigma level during operation can be determined by calculating the Process Capability Index.

The last part of the course is about Statistical Process Control, and the principles of building control charts and their use and interpretation are explained, including some practical exercises.

$ 189.99
189.99 USD $ 189.99
$ 3,749.00
Responsible Luc De Ceuster
Last Update 06/11/2026
Completion Time 5 hours 39 minutes
Members 1
  • Course Introduction (empty)
    4Lessons · 14 min
  • Section 1 - Introduction to Quality (empty)
    7Lessons · 1 hr 14 min
    • 1.1 Introducing Quality and Basic Definitions
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    • 1.2 Importance of Quality in Projects and Operations
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    • 1.3 Evolution of Quality and Quality Management
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    • 1.4 Review of Basic Statistic Parameters
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    • 1.5 Normal Distribution, z-value, and Service Level
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    • 1.6 Statistical Sampling based on Hypothesis Testing
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    • 1.7 Concept of Total Quality Management
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  • Section 2 - Quality and Cost (empty)
    4Lessons · 1 hr 10 min
    • 2.1 Quality Issues and Effects on Costs
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    • 2.2 Cost of Conformance and non-Conformance
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    • 2.3 Quality Gurus and their Achievements
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    • 2.4 Quality Awards and Certifications
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  • Section 3 - Quality Tools (empty)
    6Lessons · 1 hr 27 min
    • 3.1 - The Seven Basic Tools of Quality Management
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    • 3.2 - Applications of the Seven Quality Tools
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    • 3.3 - The Taguchi Quality Loss Function and Application
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    • 3.4 - Manual versus Process-wise Production. Tolerances
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    • 3.5 - Process Capability Ratio and Index
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    • 3.5 - Common and Assignable Causes of Variation
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  • Section 4 - Statistical Process Control (empty)
    10Lessons · 1 hr 34 min
    • 4.1- Sampling and Control Charts
      New
    • 4.2 - Type I and Type II Errors
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    • 4.3 - Different Types of Statistical Process Control
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    • 4.4 - Control Charts for Continuous Data or Variables
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    • 4.5 - Control Charts for Discrete Data
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    • 4.6 - Process Evaluation using Control Charts
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    • 4.7 - Control Chart, UCL and LCL with 𝜇 and 𝜎 known
      New
    • 4.8 - Control Chart, UCL and LCL with 𝜇 and 𝜎 known. Exercise
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    • 4.9 - Control Chart, UCL and LCL with 𝜇 and 𝜎 unknown
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    • 428 - Control Chart, UCL and LCL with 𝜇 and 𝜎 unknown. Exercise
      New