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📄 23 articles in total 📅 Continuously updated 🔥 Pinned first, then sorted by rating, views and publish date
Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

Factor Selection and Level Determination in DOE: A Five-Step Method

A quality engineer at a plastic injection molding company spent three weeks conducting a round of DOE, involving three f…

Six Sigma & Statistical Quality · Experimentation & Robustness · Tolerance & Sensitivity Analysis

Advancing QE Skills (21) | Transitioning Test Results to Mass Production: Verification, Validation, and Standardization

1. Parameters Copied Word for Word, but the Third Machine Produces a Batch of Cold Welds A manufacturing company's weldi…

Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

Advancing QE Skills (20) | Mixture and Formula Optimization: Experimental Design Under Component Constraints

1. Treating Formulas as Ordinary Factors, 27 Trials Yielded Only Waste Data A manufacturing company sought to improve th…

Six Sigma & Statistical Quality · Experimentation & Robustness · Robust Parameter Design

QE Capability Advancement (19) | Robust Design: Making Processes Insensitive to Variations

1. Parameters Tuned to "Best," but Mass Production Can't Maintain A home appliance company was working on improving the …

Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

QE Capability Enhancement (18) | Response Surface Methodology (RSM): Finding the Optimal Parameter Combination

1. A Question That Stumped Me: "The Optimal Solution" A certain automotive parts company was optimizing parameters to re…

Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

QE Capability Enhancement (17) | Partial Factorial Experiments: Finding the Main Causes with the Fewest Trials

1. Why the Same Data Leads to Different Conclusions in Confirmation Experiments A manufacturing company was working on i…

Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

QE Skill Advancement (16) | Introduction to DOE: Transitioning from Single-Factor Experiments to Full-Factorial Experiments

1. Adjusting Parameters for Three Months, but the Conclusion Fails on the Production Line A manufacturing company was wo…

Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

Random Trial Sequencing Can Lead to False Significant Factors? —— Five Steps for Randomization, Blocking, and Center Points in DOE

1. An Experiment That Reached the Opposite Conclusion A die casting company conducted a two level, three factor experime…

Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

Why Does a Beautiful DOE Report Fail to Improve Production Yield? — A Case Study on Rebuilding the "Experiment to Implementation" Mechanism in an Electronics Company

1. The 99.7% on the Report, but Not on the Production Line A wave soldering process in an electronics company has had a …

Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

How Many Trials Are Enough? — A Five-Step Method for Planning DOE Trial Numbers and Power

One: 16 Trials Done, but the Conclusion is "Wasted Effort" Engineer Xiao Lin at an electronics factory was assigned a we…

Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

Experiment Completed, but the Wrong Conclusion Was Chosen? — A Comprehensive Case Study of DOE Result Analysis in an Electronics Company

Many companies, after introducing Design of Experiments DOE , focus all their efforts on "designing the plan": how many …

Six Sigma & Statistical Quality · Experimentation & Robustness · DOE Basics & Advanced

Too Many Factors, Can't Afford the Tests? —— Practical Partial Factorial Design: 16 Tests to Lock Down Key Factors

In deep quality improvement efforts, almost everyone hits the same wall: there are seven or eight influencing factors, e…