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Reliable & Robust Product Design with Six Sigma Quality

Rating 4 (9)
Course typeInstructor led live training
Duration 12 Hrs
Start Next month
Language English
Views226

$ 100

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Reliable & Robust Product Design with Six Sigma Quality

Why enroll

This course equips you with Six Sigma principles, reliability engineering techniques, and robust design strategies to reduce defects, control variation, lower costs, and accelerate time to market. By mastering these skills, you enhance product quality, improve customer satisfaction, and strengthen your organization’s competitive advantage.

Opportunities that awaits you!

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Course details

This course provides a comprehensive and practice-oriented introduction to Reliable & Robust Product Design with Six Sigma Quality, combining foundational concepts with real-world industrial methodologies. Participants will learn how to translate customer needs into engineering requirements using tools such as the Kano model, while understanding the economic implications through Cost of Quality analysis and models for Service Quality.

The course covers the essential statistical foundations of quality—probability distributions, inferential statistics, hypothesis testing, Type I & II errors, and how these principles support data-driven decision making. Learners will gain hands-on understanding of the 7 QC tools, control charts for variables and attributes, Operating Characteristic (OC) curves, process capability analysis (Cp, Cpk), and acceptance sampling plans, which are central to continuous improvement and process stability.

The program further introduces the principles of reliability engineering, enabling participants to analyse and model the likelihood of system success or failure over time. They will learn how to apply reliability metrics, failure distributions, and system models to improve durability and lifecycle performance.

The course concludes with advanced topics such as the Taguchi method, Robust Design, and variation reduction techniques that help engineers achieve high-quality, reliable products despite manufacturing and environmental uncertainties. Together, these modules create a strong foundation in modern quality management and reliability assurance practices used across automotive, aerospace, electronics, and manufacturing industries.

Course suitable for

  • Automotive
  • Agriculture
  • Data Science & Analysis
  • Mechanical
  • Noise & Vibration
  • Engineering & Design
  • Manufacturing Support
  • Six Sigma
  • Research & Developmnet
  • Value Engineering

Key topics covered

1.Customer needs, Kano model, Cost of Quality , Model for Service Quality

2.7 QC Tools for continuous quality monitoring

3.Inferential Statistics, Probability Distributions

4.Decision making Errors Type 1 and 2 , Hypothesis Testing

5.Control Charts for variables and attributes , Operating Characteristic Curves

6.Process Capability Analysis

7.Acceptance Sampling Plans

8.Reliability analysis of a system

9.The Taguchi method and Robust Design

Training details

This is a live course that has a scheduled start date.

Live session

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities—all in a flexible and supportive environment.

$ 100

$ 5 Early bird

Coming in Next Month