Six Sigma Mechanical Tolerance Analysis 1

David A. Panek Product Cost Engineering Six Sigma Mechanical Tolerance Analysis

BIO Name: David A. Panek Education (Degree/College): Bachelor of Science Electrical Engineering and Bachelor of Science Computer Science Area of Expertise:Tolerance analysis, Monte Carlo Techniques, Time to market improvement, Cost Estimation Techniques, Neural costing. Years of Experience: 18 (costing) Area of Focus: Improvements to cost control

Introduction Methods for doing Tolerance Analysis ,[object Object],[object Object],[object Object]

Definition of terms Process Variation Standard Deviation Rejects   UL LL   Mean A frequency plot shows how a process varies from the mean Capability 

Measures of Process Capability  3   6  k Process Capability Index: Cp adjusted for k : C pk = C p (1-k) UL UL LL LL

6  Variation Defined RSS : 6  : where C pk = C p (1-k) and  3  UL LL  6  k UL LL

[object Object],[object Object],[object Object],Motorola Product Design Optimization

Design Analysis and Optimization Guidelines ,[object Object],[object Object],[object Object],[object Object],[object Object]

Simple Problem 1±.001 1±.001 1±.001 3.1±.001

Simple Six Sigma Tolerance Analysis Spread sheet

Dr. Ken Chase, Brigham Young University, cats_1d spreadsheet

Reference information (web) ,[object Object],[object Object]

Reference information ,[object Object]

Questions and comments ,[object Object],[object Object],[email_address]

Six Sigma Mechanical Tolerance Analysis 1

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