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DESIGN OF EXPERIMENTS

2 day(s) | 1.40 CEUs

REGISTRATION FEE: Member: $795 | Non-member: $1,145

 

Experimental design is the science of ensuring we get the most information from an experiment at the least cost. Well-chosen experimental designs maximize the amount of “information" that can be obtained for a given amount of experimental effort. This course will teach you how to design and implement experiments to receive the maximum amount of unbiased information regarding factors affecting a production process at the lowest cost.

This course is part of the Industrial Engineering Professional Skills Certificate Program. Learn more about IIE certificate programs and how you can save by paying in advance for all of the courses included in a program. Go to Certificate Programs 

Class Schedule:

Course IDCourse DatesLocationRegister
1808Jan 21 - 22, 2014Norcross, GARegister

Overview:

This course will provide you with the framework for creating experimental designs that lay out a detailed experimental plan in advance of doing the experiment. In industrial settings, the primary goal is usually to extract the maximum amount of unbiased information regarding the factors affecting a production process from as few costly observations as possible. In general, every machine used in a production process allows its operators to adjust various settings, affecting the resultant quality of the product manufactured by the machine. Experimentation allows the engineer to adjust the settings of the machine in a systematic manner and to learn which factors have the greatest impact on the resultant quality. Using this information, the settings can be constantly improved until optimal quality is obtained.

Topic Highlights:

  • ANOVA: One and two factor  
  • Completely randomized design and randomized block design
  • Computer applications
  • Full and fractional factorial design
  • Interaction and replications
  • Single-factor design and two-factor design

What You Will Learn:

  • Analyze and interpret data that is generated in the experiment
  • Design experiments to identify the optimum combination to minimize cost and increase quality and productivity
  • Determine operating levels for key process factors
  • Identify critical process characteristics

Course Content

  • Single-factor design 
  • Completely randomized design
  • Two-factor design or randomized block design 
  • Factorial with interaction design
  • Balanced and unbalanced 
  • Two-factor ANOVA
  • Calculations for two-factor tables
  • Interaction
  • Computer applications
  • Latin Square designs
  • Replications 
  • Full-factorial design
  • Fractional-factorial design
     

Corporate Training

This course is available as a corporate training program and can be customized to meet your company’s needs. For more information, contact IIE Director of Continuing Education and Program Development Larry Aft, P.E., (770) 349-1130.

Class cancellation:  IIE reserves the right to cancel a class up to 15 business days prior to the scheduled start date.