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Founder-reviewed SPC + capability report

Fred Stevens

Fred Stevens is a mechanical engineer, Lean Six Sigma Black Belt, and founder of Six Sigma Center.

For more than two decades, he has helped engineering and manufacturing organizations transform complex product, process, and quality challenges into practical, data-driven decisions.

His experience spans medical devices, automotive manufacturing, aerospace and defense, renewable energy, and advanced industrial production.

Across these environments, Fred has led new product integration, manufacturing-line development and transfer, process validation, product commercialization, equipment implementation, and continuous-improvement initiatives.

Fred's work combines hands-on engineering with statistical problem-solving.

He has applied SPC, process capability analysis, measurement-system analysis, hypothesis testing, DOE, regression, root-cause analysis, and risk-based quality methods to improve process understanding and support defensible engineering decisions.

He has also designed production tooling and test fixtures, developed automated statistical-analysis tools, and worked within FDA, ISO 13485, ISO 14971, GMP, and other structured quality-system environments.

As founder of Six Sigma Center, Fred is productizing that experience into guided analytical tools for quality engineers, manufacturing engineers, product-development teams, and Lean Six Sigma practitioners.

His goal is straightforward: make rigorous process analysis easier to perform, easier to interpret, and easier to translate into meaningful action.

Career Background

Fred's career spans more than 20 years of progressively responsible engineering work across product development, new product integration, manufacturing engineering, process optimization, quality systems, and technical leadership. His experience includes leading operational readiness and new product integration initiatives at Yamaha Motor; establishing, validating, and transferring electromechanical medical-device manufacturing processes at Avanos Medical; developing manufacturing systems and infrastructure at Emrgy; and supporting regulated product development and commercialization at Gener8. Earlier roles with FUJIFILM Dimatix, ATK, Ford, Honda, and General Motors provided additional experience in process automation, high-volume manufacturing, equipment integration, vehicle quality, and production engineering.

Articles by Fred

I Ran Thousands of Tests So You Can Trust Every Number You Report

Fred Stevens explains the 2,000+ automated and 300+ manual checks behind Six Sigma Center calculations, workflows, charts, reports and refusals.

Run Six Sigma Center Analysis Inside Your AI Assistant

A general purpose model can explain a statistical method. It cannot produce a number you can defend in an audit. The connector hands the work to the engines behind eight analysis modules, with a study record, an engine version, and a link to the real report.

Tolerance Stack-Up Analysis: Worst Case, RSS, and Monte Carlo

Every part passed inspection and the assembly still binds. Tolerance stack-up analysis explains why, but the technique stays underused because it is locked inside design seats and spreadsheets. Here are the fundamentals, the three methods, and the failure modes that cost real money.

Who Six Sigma Center Helps: 14 Quality and Process Roles

Fourteen engineering, quality, compliance, improvement, and design role categories keep asking the same question in different words. This is the full role map: the pain, the exact module workflow, and the artifact each one walks away with.

Founder-Assisted SPC and Capability Review: A Defensible Decision in 48 Hours

Submit one anonymized process dataset and receive a founder-performed SPC and capability report, a walkthrough, and 30 days of Pro access in 24 to 48 hours. Built for quality, NPI, and continuous-improvement engineers who have to defend a number, not just produce one.

The Voices of Lean Six Sigma in Product Development and NPI: Why VOP Wins When Voices Conflict

Most product launches fail not because a team ignored the customer, but because they ignored a Voice. This guide maps all twenty Lean Six Sigma Voices of (VOC, VOP, VOD, VoEng, VOS, VOR, and 14 more) to DMAIC, NPI gates, and the analytics that prove a process can deliver what was promised.

Voice of the Customer vs Voice of the Process: Why the Distinction Matters

VOC defines what customers require. VOP reveals what your process delivers. Confusing the two leads to misguided improvements and persistent quality failures. Learn to bridge the gap with SPC and capability analysis.

DOE vs One Factor at a Time: Why Interactions Matter

Discover why traditional one-factor-at-a-time testing misses critical factor interactions. Learn how true Design of Experiments reveals hidden relationships between variables that OFAT cannot detect.

Understanding Process Capability: Cp vs Cpk Explained

Learn the fundamental differences between Cp and Cpk process capability indices, when to use each metric, and how to interpret results for quality improvement.

Introduction to Statistical Process Control Charts

A comprehensive guide to SPC control charts, including I-MR, X-bar R, and attribute charts. Learn when to use each chart type for effective process monitoring.

Six Sigma DMAIC Methodology: A Complete Guide

Master the DMAIC improvement cycle: Define, Measure, Analyze, Improve, and Control. Learn practical tools and techniques for each phase of your Six Sigma projects.

Mastering Hypothesis Testing: A Practical Guide for Quality Professionals

Your t-test returned p = 0.047. Is that meaningful? Learn practical hypothesis testing from test selection to actionable interpretation.

Predictive Modeling and Regression: From Data to Decisions

Your regression model has R² = 0.95. Should you trust it? Learn practical predictive modeling without overfitting traps.

Gage R&R Explained: Ensuring Your Measurement System is Trustworthy

Your Cpk is 1.35. But is it really? If your measurement system has 40% GRR, your capability study is meaningless.