Design of Experiments (DOE) using JMP (1.0 days)

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Details Price Qty
Design of Experiments (DOE) using JMPshow details + $795.00 (USD)  
Design of Experiments (DOE) using JMPshow details + $795.00 (USD)  

  • Design of Experiments (DOE) using JMP
    September 26, 2022
    9:00 am - 4:00 pm Your Timezone
  • Design of Experiments (DOE) using JMP
    October 24, 2022
    9:00 am - 4:00 pm Your Timezone

DOE using JMP (1.0 days): This course focuses on how to establish a systematic approach to pharmaceutical development using design of experiments (DOE). All concepts are taught within the product quality system framework.

Design of Experiments (DOE) using JMP:

  • identify critical quality attributes (CQAs) that will be used as responses in your designs
  • utilize risk management tools to identify and prioritize potential critical process parameters
  • identify critical process parameters and develop a functional relationship between those process
    parameters and your critical-to-quality attributes (CQAs) using both screening and response surface
    designs
  • be able to design and analyze screening designs including a factorial, fractional factorial, and D-optimal
    design
  • understand the need for adding center points to a design
  • be able to design and analyze response surface designs including central composite designs (CCDs),
    Box-Behnken designs, and I-optimal designs
  • be able to design and analyze definitive screening designs
  • present results of DOE studies

 

Outline:

  1. Introduction to Design of Experiments (DOE)
    • steps to DOE
    • defining critical-to-quality attributes (CQAs)
    • identifying and prioritizing potential process parameters
  2. Screening Designs – Identifying Critical Process Parameters
    • factorial designs
    • fractional factorial designs
    • D-optimal designs
  3. Response Surface Designs – Develop Functional Relationships and Establish Design Space
    • Central Composite Designs (CCDs)
    • Box-Behnken designs (Self Study)
    • I-optimal designs

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