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D401 :: DoE Masterclass :: 4 daysdownload workshop overview (pdf)

The DoE Masterclass is an intensive, hands-on programme giving you a complete grounding in the range of practical approaches to designing and analysing your own experiments. The Masterclass programme comprises two consecutive workshop days followed by a period, typically of three-months, of practical application in the workplace, then a further two consecutive workshop days.

Topics Covered

  • Day 1:
    • Motivation to Design of Experiments
    • Introduction to Full Factorials
    • Evidence-based decision-making
    • Fractional Factorials
    • Screening and Robustness Designs
    • Design Expert Experience & Practicals
  • Day 2:
    • DoE Potholes and the value of scoping designs
    • Links to MSA and Variation Management
    • DoE a Quality by Design (QbD), Design for Manufacture (DfM) & Sequential Strategy
    • Parameter investigation, optimisation and robustness
    • Predicted and proven acceptable ranges
    • Knowledge, Design and Control Space
    • Assembly of fit-for-purpose work packages
  • Break: a period - typically 3-months - of practical application in your workplace
  • Day 3:
    • Refining your Formulation and Process understanding
    • Augmenting screening designs
    • Effective resource management
    • Response surface modelling and optimization designs, choices
    • Process understanding, control and capability
    • Evolutionary operations
  • Day 4:
    • Putting what you have learned into practice (real-life case study following a Design for Six Sigma strategy)
    • Identify optimal, robust and transferable settings for a real-life development process

Software Tools Used

Design Expert DX7 and PROSIM - hands on
   (or your current in-house statistical software package)

Who Should Attend?

Lead Users and Potential Lead Users

Recommended Preparation

  • D101 DoE Overview
  • F101 Taming Chaos - Variation Management 

date.pngWhen and Where?                              I'm interested, keep me posted  tick.png

  • Runs according to demand :: £1295