Experimental Design and Industrial Statistics - IV


The four-level sequence of courses in this series is intended to provide engineering, technical, and manufacturing personnel with an in-depth and working knowledge of industrial statistics and experimental design methods and techniques. Various aspects of this sequence combine to provide the most unique series of its type in the country, specifically:

  • There are no prerequisites to initiating the series, and the participants are assumed to enter the first course in the series with no prior knowledge of statistical theory;
  • The course sequence stresses applied versus theoretical methods and tools;
  • The course uses over 85 industrial examples and data sets to explore the tools and methods taught, all of which have been gathered in actual industrial applications; and
  • The course sequence is computer-based, to allow for the maximum amount of content to be covered, and ensures that participants will be capable of applying the knowledge and skills acquired in their own positions after the course sequence is successfully completed.

Participants completing the course sequence will be capable of properly gathering and analyzing data, as well as correctly designing and executing experiments in the industrial setting.

Time Requirement

5 days

Number of Participants

A maximum of 45 participants is recommended for this course sequence, with no more than two participants assigned to each computer.


Experimental Design and Industrial Statistics — Level III

Primary Resource Materials

Experimental Design and Industrial Statistics — Level IV manual

Content Outline

  • Factor and Level Selection for Effective Screening Experiments Utilizing Fractional Factorial Designs
    • Potential Factor Selection
    • Independent versus Response Variables
    • Avoiding Non-Independent Variables
    • Selecting the Number of Levels to be Tested
    • Extreme Level Selection
    • Known and Non-Manipulable Independent Variables
    • Studying Interaction Effects
  • Experimental Designs for Screening Experiments: General Guidelines and Observations
  • Designing Screening Experiments with Orthogonal Arrays — Case Studies
    • Analysis of a Plating Tank
    • Analysis of a Roll Coater
    • Analysis of Seating Force for Primers
    • Earing Analysis
    • Analysis of a Trimmer/Chopper
    • Self-Review Opportunities
      • Dome Strength Analysis
      • Ingot Casting Analysis
    • 3n Series Arrays
    • Analysis of a Wafer Processing Furnace
  • Conducting Confirming Experiments




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