Technical Problem Solving

Statistical Engineering (Red X) is the technical problem solving strategy of General Motors. Finding the Red X is a disciplined problem solving approach to find the largest contributor to an issue.

Experience and Achievements

Vehicle Project Engineer, Sedan, Coupe, SUV, Saturn Corporation, Spring Hill, Tennessee 1998-2006

• Provided disciplined, detailed root cause analysis of JD Power and warranty issues using Red X statistical tools.
  

  Completed General Motors statistical engineering/technical problem solving apprenticeship program.

• GM Master Certified technical problem solver since 2004.
• Taught several apprentice and journeyman problem solving courses as part of the GM technical development program.
• Coached 2 people to Master Certification Level in statistical problem solving.
• Definitively determined root cause and resolved several complex issues in HVAC, closures, and interior systems for a substantial reduction in JD Power and warranty pph.
• Examples of technical project write up (Some information removed for confidentiality):
  Door Closing Effort 
  HVAC Issue

Quality Engineer, Crossover Vehicle, General Motors Corporation, Spring Hill, Tennessee, 2006-Present

• Teach, coach and use Red X strategies for technical problem solving for design, tooling and process issues.

Formal Education and Training Relavant to Technical Problem Solving

Statistical Engineering (Red X) Apprentice Seminar and Exam
Statistical Engineering (Red X) Journeyman Seminar and Exam
Statistical Engineering (Red X) Master Seminar and Exam
Red X Strategies
Design of Experiments
Six Step Problem Solving Process

BSME, Michigan State University

MBA, JIU

Statistical Problem Solving Tools. Trained apprentice and journeymen and lectured on the following Red X tools:

• Problem Definition Logic Trees
• Project Definition Logic Trees
• Solution Logic Trees
• Dictionary, Focus, Strategy, Connectivity, Aggravation decision splits
• Isoplot
• Sensory scoring transform
• Measurement systems and error
• Concentration diagrams
• Multi-vari
• Component Search
• Paired Comparison
• Group Comparison
• Tukey Confirmations
• B vs. C Confirmations
• Barrier B vs. C
• Six Pack B vs. C
• 5 Penny B vs. C
• Binomial Probability
• Full Factorial
• Yates notation
• Yates algorithm
• Rank Order ANOVA
• Green Y run charting
• P charts