AI6Sigma Workflow & Data Checks
Course overview, optional JMP orientation, problem statements, data quality and assumption checks.
ENGINEERING TRAINING
3-Day Quality, Manufacturing & Process Engineering Problem-Solving with AI + JMP
Integrate Lean Six Sigma methods, AI and JMP to evaluate measurement systems, investigate defects and variation, assess process capability, and apply SPC to improve quality and productivity.
Who This Course Is For
Quality, Manufacturing, Process, and Yield engineers connecting measurement and process evidence to investigation, corrective action, and verification of improvement.
THE AI6SIGMA DIFFERENCE
What AI-Powered Means in This Program
Use ChatGPT or Microsoft Copilot to frame quality, manufacturing and process questions, plan measurement and process comparisons, investigate defects and variation, and explain capability and SPC results. Independently check AI interpretations against JMP evidence, measurement-system performance and process conditions to develop defensible recommendations for quality and productivity improvement.
Measurement, Capability & Process Control for Improvement
Measurement System Analysis
Variable and attribute Gauge R&R, measurement reliability, minimum sample size and precision planning.
Process Capability
Assess Cp, Cpk, Pp and Ppk with independent JMP analysis and GenAI exercises.
Statistical Comparisons
Confidence intervals, hypothesis testing for means and variances, and proportion testing for defect rates and DPM.
Statistical Process Control
Variable and attribute SPC, process stability, capability and improvement verification.
Independent Workplace Practice
Compare AI and JMP evidence, explain the decision, and complete an independent manufacturing improvement case.
Choose Your Training Approach
Learn an integrated engineering problem-solving workflow using ChatGPT or Microsoft Copilot, independent JMP statistical validation, and reusable workplace prompts and checklists.
Prefer training without generative AI? Explore Global Lean Sigma →
Where AI Assistance Adds Value
Analysis PlanningJMP InterpretationRoot Cause InvestigationDecision ValidationManagement-Ready Reporting
RESPONSIBLE AI & DECISION VALIDATION
Move Faster Without Lowering the Evidence Standard
✓ Distinguish AI suggestions from statistical evidence
✓ Identify unsupported assumptions
✓ Verify interpretation against JMP output
✓ Avoid overstating statistical results
✓ Document the basis for recommendations
✓ Retain human ownership of final decisions
HOW YOU WILL WORK MORE PRODUCTIVELY AFTER AI6SIGMA TRAINING
Use AI to Accelerate Analysis. Check the Evidence. Explain the Decision.
Students get an AI answer, run the appropriate analysis independently in JMP, compare the evidence and assumptions, correct errors, and explain the decision.
Accelerate analysis
Use GenAI to support investigation, interpretation and communication.
Check before acting
Evaluate statistical claims with independent JMP analysis and engineering judgment. Agreement alone does not establish validity.
Apply a consistent method
Reduce unsupported reasoning and analytical rework with a repeatable workplace practice.
FROM CLASSROOM TO WORKPLACE
Take a Repeatable Practice Back to Work
Use a condensed course PDF and a workplace application packet: a problem statement template, reusable prompts, a validation checklist, a decision summary template and course-specific practice materials.
Practice independently with course datasets and guidance. Additional project coaching and implementation support can be discussed separately.
Plan Your Training
AI6Sigma builds on Global Lean Sigma’s 20+ years of practical engineering problem-solving training.
Live Instructor-Led Learning
Attend scheduled 3-day virtual sessions or arrange onsite training for your team. Ask questions, discuss findings with peers and receive instructor feedback.
Apply the Learning at Work
Take away reusable prompts, validation checklists and practical templates to practice with teammates and support engineering improvements.
Experience & Software
No prior AI or JMP experience required. Familiarity with basic statistics and engineering data is recommended. Instruction uses JMP with ChatGPT or Microsoft Copilot, subject to company access policies.