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Design for Six Sigma Statistics

Description

THE STATISTICAL TOOL NECESSARY TO IDENTIFY AND SOLVE ANY DFSS PROBLEM

Design for Six Sigma Statistics meticulously details 59 mathematical procedures for executing DFSS programs, isolating and identifying problems, and solving them before the actual product launch. More than an introduction to statistical concepts and methods, this comprehensive resource offers real-world case studies and step-by-step MINTAB instruction for performing:

  • DFSS Design of Experiments

  • Measuring Process Capability

  • Statistical Tolerancing in DFSS

  • DFSS Techniques within the supply chain

Keywords

attribute�agreement�analysis �individual�value�plot �potential�capability�metrics �process�capability�metrics �full�factorial�treatment�structure �tolerance�design�tools closest�tolerance�limit �capability�analysis�function �requiring�touchup �statistical�tolerance�bounds �statistical�tolerance�design �subgrouped�data �mutually�independent�observations randomized�design�structure �central�composite�experiment �continuous�measurement�data �response�optimizer �runout�data �variation�component�metrics

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