Seminar on Risk Analysis and Design of Experiments (DOE) in Process Validation and Development at Ph
- Start Date:
- Thursday, 12 May, 2016
- End Date:
- Friday, 13 May, 2016 6:00pm
- Internal Medicine, Pulmonary Medicine, Critical Care, Physical Medicine, Headache / Migraine, Health & Nutrition, Allergy
Course "Risk Analysis and Design of Experiments (DOE) in Process Validation and Development" has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.Overview:This course is designed to help scientists and engineers plan and conduct experiments and analyze the data to develop predictive models used to optimize processes and products and solve complex problems.
DOE is an extremely efficient method to understand which variables (and interactions) affect key outcomes and allows the development of mathematical models used to optimize process and product performance. The models also provide an understanding of the impact of variability in controllable and uncontrollable factors on important responses. The concepts behind DOE are covered along with some effective types of screening experiments.
Case studies will also be presented to illustrate the use of the methods.This highly interactive course will allow participants the opportunity to practice applying DOE techniques with various data sets. The objective is to provide participants with the key tools and knowledge to be able to apply the methods effectively in their process and product development efforts. Why should you attend:· Plan and conduct experiments in an effective and efficient manner· Apply good experimental practices when conducting studies· Determine statistical significance of main and interaction effects· Interpret significant main and interaction effects· Develop predictive models to explain and optimize process/product behavior· Check models for validity· Utilize models for one or more responses to find optimal solutions· Apply very efficient fractional factorial designs in screening experiments· Apply response surface designs for optimization experiments· Avoid common misapplications of DOE in practice Who Will Benefit:· Scientists· Product and Process Engineers· Design Engineers· Quality Engineers· Personnel involved in product development and validation· Laboratory Personnel· Manufacturing/Operations Personnel· Process Improvement Personnel Agenda:Day OneLecture 1:Introduction to Experimental DesignWhat is DOE?DOE vs.
One-Factor-at-a-time studiesTerminology, Definitions, and ConceptsSequential ExperimentationWhen to use DOECommon Pitfalls in DOELecture 2:A Guide to Experimentation (Methodology)Planning an ExperimentImplementing an ExperimentAnalyzing an ExperimentCase StudiesLecture 3:Two Level Factorial DesignsDesign Matrix and Calculation MatrixCalculation of Main & Interaction EffectsGraphing & Interpreting EffectsUsing Center PointsLecture 4:Identifying Significant EffectsDescribing Insignificant Location EffectsDetermining which effects are statistically significantAnalyzing Replicated and Non-replicated DesignsDay TwoLecture 1:Developing Mathematical ModelsDeveloping First Order ModelsResiduals /Model ValidationLecture 2:Developing Mathematical Models (cont'd)Solving Models for Possible SolutionsOptimizing Response(s)Lecture 3:Fractional Factorial Designs (Screening)Structure of the DesignsIdentifying an "Optimal" Fraction to RunConfounding/AliasingResolutionAnalysis of Fractional Factorial ExperimentsOther DesignsLecture 4:Introduction to Response Surface DesignsCentral Composite DesignsBox-Behnken DesignsOptimizing several characteristics simultaneouslySpeaker:Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions.
Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty.EducationM.A., Applied Statistics, University of Michigan, 2002M.B.A, Katz Graduate School of Business, University of Pittsburgh, 1992B.S., Mechanical Engineering, University of Michigan, 1986 Location: Philadelphia, PennsylvaniaDate:May 12th & 13th, 2016 and Time: 9:00 AM to 6:00 PM Venue:Hilton Garden Inn Philadelphia Center City Address: 1100 Arch St, Philadelphia, PA 19107, United States Price Details:(Seminar Fee for One Delegate)-Price: $1,495.00 Quick Contact:NetZealous DBA as MentorHealthPhone: 1-800-385-1607Email: email@example.comWebsite: http://www.mentorhealth.com/Registration Link - http://www.mentorhealth.com/control/globalseminars/~product_id=200061SEMINAR Follows us:Twitter: https://twitter.com/MentorHealth1LinkedIn: https://www.linkedin.com/company/mentorhealth
Hilton Garden Inn Philadelphia Center City,
1100 Arch St,
Conference organized by Netzealous -MentorHealth
MentorHealth is a comprehensive training source for healthcare professionals. Our trainings are high on value, but not on cost. MentorHealth is the right training solution for healthcare professionals. With MentorHealth, healthcare professionals can make use of the best benefits relating to their professional training. • They can get the benefit of advice from experts in the field. • Healthcare professionals will have the flexibility of viewing recorded webinars at their convenience.• MentorHealth offers online interactive participation. Using this, healthcare professionals, no matter which part of the world they are based in, will have the opportunity to listen to and interact with some of the most accomplished experts in the healthcare Industry.
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