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Reliable & Robust Product Design with Six Sigma Quality banner

Reliable & Robust Product Design with Six Sigma Quality

Reliable & Robust Product Design with Six Sigma Quality banner
Live online Intermediate

Reliable & Robust Product Design with Six Sigma Quality

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12 hrs
-
English
371 views
MILIND AMBARDEKAR
MILIND AMBARDEKARConsultant
AutomotiveAgriculture
  • 7-day money-back guarantee
  • Session recordings included
  • Certificate of completion
Volume pricing for groups of 5+

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.

Your instructor

MILIND AMBARDEKAR

MILIND AMBARDEKAR

Self employed

Consultant

34+ yrs experience·India

33Courses
1Articles
275Learners
4Avg rating
8Followers

Is this course for you?

You should take this if

  • You work in Automotive or Agriculture
  • You're a Data Science & Analysis / Mechanical Engineering professional
  • You have some foundational knowledge in the subject
  • You want to build skills in Engineering & Design, Manufacturing Support

You should skip if

  • You're looking for an introductory overview course
  • You need a different specialisation outside Data Science & Analysis
  • You need fully self-paced, on-demand content

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

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

Opportunities that await you!

Skills & tools you'll gain

Engineering & DesignManufacturing SupportSix SigmaResearch & DevelopmnetValue Engineering

Career opportunities

Training details

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

COMPLETED

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Questions and Answers

A: Governing principle: High-cycle vibration fatigue is driven by endurance limit and notch sensitivity, not ultimate strength. Applied here, low-carbon steel with proper GD&T on radii gives predictable fatigue behavior, and coating failure increases corrosion rate but not immediate crack initiation. Occurrence stays bounded. Engineers often pick the high-strength steel option, forgetting that thinner sections raise stress range and notch sensitivity under random vibration.

A: Governing principle: Relief valves address overpressure during operation, not static thermal expansion in trapped volumes. In this circuit, operational overpressure still sees some mitigation from pump slip and driver release, but parked thermal expansion has nowhere to go. The pump overload option traps engineers who assume mechanical limits always precede hose failure, which isn't true with modern elastomer hoses.

A: Governing principle: Dissimilar metals in an electrolyte drive anodic dissolution of the less noble material. Here the aluminium acts as the anode, and fertilizer-laden moisture accelerates local attack at the joint, even with coated bolts. Uniform steel corrosion sounds plausible to people used to outdoor equipment, but the galvanic couple shifts the damage location.

A: Governing principle: Functional safety depends on worst-case proximity to specification limits, not just spread. Cpk captures both variation and mean shift, which directly maps to loss of brake free play and increased hazard severity. Cp-only thinking catches engineers who know the statistic but forget that a centered process isn't guaranteed at launch.