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Production Boat Design Cycle Quality Data Influence

Production Boat Design Cycle Quality Data Influence. Bio. Accounting & Logistics Background 6 Years in Medical Device Industry 10 Years in Marine Industry Director of Quality – BBG. Discussion Points. Evolution of the “Boater” Utilization of Data Innovations Going Forward.

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Production Boat Design Cycle Quality Data Influence

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  1. Production Boat Design CycleQuality Data Influence

  2. Bio Accounting & Logistics Background 6 Years in Medical Device Industry 10 Years in Marine Industry Director of Quality – BBG

  3. Discussion Points Evolution of the “Boater” Utilization of Data Innovations Going Forward

  4. Boater – 20 Years Ago • Customer – Boater who started small & worked his way into bigger boats – Boater DNA! • Use of Product • Recreation with family & friends including water skiing, fishing, etc… • Overnight boating, trips, etc… • Boat Content – Engine, gauges & radio • Expectations – Boat is functional

  5. Boaters – Present Time • Customer – Boater DNA, Casual Boater, & Image Conscious Boater • Use of Product • Recreation with family & friends including water skiing, tubing, wake boarding, fishing, etc… • Day Boating • Content • Casual Boater – Matches features to needs for right price • Image Conscious Boater – Every bell and whistle possible • Expectations • Casual Boater – Boat is reliable, easy to use & safe • Image Conscious Boater – Boat is reputable, customizable & reliable

  6. Evolution of Quality Data Into New Model Development 2000’s

  7. New Product Inputs

  8. Quality Data

  9. Internal Quality • Manufacturing Defects • Pros • Identify defect before boat ships • Ability to correct & use as training opportunity • Cons • Must stay on top of data

  10. Internal Quality Internal Defects – Pareto for Improvement

  11. Internal Quality - Stress Crack Pin Map Visual Defects

  12. Internal Quality Hull Weight Variable Internal Data

  13. Audits • Internal Audits & 3rd Party Audits • Compliance, NMMA, USCG, ISO, process, supplier installation, etc… • Pros • Used to validate processes & process controls • Audits minimize risk • Create containment windows • Cons • Audits are sporadic • Window of exposure might be present

  14. Audits In Process Audit Results

  15. Audits Compliance Audit Results

  16. External Quality • Warranty • Pros • Failures give you the ability to create failure rates • Cons • Lagging indicator (12-18 months)

  17. External Quality Begin To “Peel The Onion”

  18. External Quality

  19. External Quality

  20. Competitive Analysis • Customer Questionnaires – JD Power, CSI • Pros • Quantify customer expectations • Data down to the model • Compare competitively • Cons • Lagging data indicator (300 days after retail sale) • Low response rate (Industry average 22%)

  21. Competitive Analysis Utilize Data to Drive Segment, Model & Feature/Design Improvements

  22. Innovations Chopping & Hand Laying Infusion Manufacturing Processes

  23. Innovations Dash Instrumentation

  24. Innovations Transom Seating Swim Platform Steps

  25. Innovations Old School New School Water Sports

  26. Innovations Dual Binnacle Bow & Stern Thruster Joystick Control Docking Controls

  27. Going Forward • Boater Will Change • Must keep up with changes • Boats are More Complex • More opportunity for failure • Liability is higher • New Model Development • Takes 12-24 months

  28. Future

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