Get a full understanding of Design of Experiments for process development and validation
The ways of approaching Design of Experiments for process development and validation will be topic of a two-day seminar that is being organized by GlobalCompliancePanel, a highly respected provider of professional trainings for the areas of regulatory compliance.
Jim Wisnowski, who is the cofounder of Adsurgo LLC and co-author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP, will be the Director at this seminar. In order to gain a full understanding of the principles and application of Design of Experiments for process development and validation; please register for this seminar by visiting http://www.globalcompliancepanel.com/control/globalseminars/~product_id=901010SEMINAR?earticlesonline-SEO
This seminar has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.
All about Design of Experiments for process development and validation
This seminar will offer total and all-round understanding of all the aspects of Design of Experiments for process development and validation.
Process development studies need to be completed before a process control plan is developed as part of an overall risk management strategy. These process development studies help gain knowledge and understanding about the impact of variation in process parameters on the variation in the product quality characteristics of the product.
An explanation of the methods used
The methodology of Design of Experiments for process development and validation offers a means for identifying process parameters, which impact product quality (critical process parameters) and determine the functional relationship that links the process parameters to those critical quality attributes.
Design of Experiments for process development and validation uses screening designs such as 2k factorial and D-optimal designs to determine critical process parameters. Design of Experiments for process development and validation use response surface designs, such as Central Composite Designs (CCDs) and I-optimal designs for fashioning the functional relationship between those critical process parameters and the critical quality attributes.
A primer on statistical analysis
This seminar on Design of Experiments for process development and validation will present a primer on statistical analysis, during which it will focus on the methods required for analysis of designed experiments. Jim will then move on to the steps to a proper DoE, during the process of which he will demonstrate the nature and uses of important risk management tools such as Ishikawa and FMEA, which can be used pre and post DOE studies.
The Director will also teach how to generate and analyze multiple screening and response surface designs, and why and how each are used. After teaching participants how to present the results, Jim will explain how to update the risk management tools using the results of the studies.
This session on Design of Experiments for process development and validation will cover the following areas:
oIdentify critical quality attributes (CQAs) that will be used as responses in your designs
oUtilize risk management tools to identify and prioritize potential critical process parameters
oIdentify 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
oBe able to design and analyze screening designs including a factorial, fractional factorial, and D-optimal design
oUnderstand the need for adding center points to a design
oBe able to design and analyze response surface designs including central composite designs (CCDs), Box-Behnken designs, and I-optimal designs
oPresent results of DOE studies