Variation & Tolerance Analysis

Overview

Understanding the effect of input variation on output performance via tolerancing has been traditionally been done via ‘worst case’ or statistical (RSS) approaches. Now that Monte Carlo Analysis can be performed via Minitab, we showcase the use of this powerful and flexible tool. We also turn to the progression from the critical to design measures (CTDs) and the processes that will create them and their critical to process measures (CTPs).  Finally, we look at effective piloting of new processes as part of process development.

Course objectives:

  • Review traditional tolerancing methods
  • See the benefits of using Monte Carlo Analysis to predict capability and manage tolerances
  • Understand of the 3rd House of Quality works
  • Use Minitab’s Response Optimiser to meet conflicting output targets
  • Understand how careful planning can increase the benefits achieved when piloting new processes
  • Learn the basic principles of Reliability Analysis and how it can enable product life prediction

Course Content

Understanding Variation

  • Sensitivity analysis: using a worked example to predict the variation in the output
  • Monte Carlo analysis) to predict output variation
  • How to manage input tolerances

 

Confirming Process CTPs and Optimisation

  • The 3rd House of Quality
  • Confirming the Critical to Process (CTP) factors
  • Using Minitab’s Response Optimiser to achieve multi-objective (i.e. multi-goal) optimisation

 

Piloting New Processes

  • Effective pilot planning
  • Conducting the pilot
  • Declaring success

Variation & Tolerance Analysis

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    In-company

    Duration:

    1 day

    Ideal for group training

    Customised per company

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