Statistical experimental design: dealing with covariables
The statistical Design of Experiment (DoE) is a procedure for the planning of experiments, which calculates that all experimental results are superimposed by unavoidable random errors. This method is often used to determine the mechanisms of action of influencing parameters. Here, it is assumed that these inputs can be specifically adjusted. In practice, however, this is often not the case. There are disturbance variables that cannot be adjusted: Fiber thickness in textiles, porosities in batteries, etc.Disturbance variables that can be measured are called covariates. Covariables can have a large influence and blur the effects of the other controlled variables beyond recognition.
Content

  • Use of covariables to understand mechanisms of action.
  • Quantification of the influences of the covariables
  • Visualization of the covariables by means of suitable diagrams
  • Reduction of experimental effort
  • Scope of services

  • Precisely tailored information at the highest level of quality
  • Dialogue to answer questions
  • Seminar documents (PDF download)
  • Certificate of participation
  • Benefit

    The event provides practical application examples for dealing with covariables. You will learn the benefits of covariables and be able to quantify the influence of covariables. You will be able to determine the functional input-output relationship (ANOVA, regression) of covariables to the respective quality characteristics. You will be able to understand the nature of covariables using suitable graphics and draw the correct conclusions for targeted process optimization.

    Participant fee
    The participation fee is 138,00€ (net)
    Speakers of the presentationsHere you can see the speakers who will give the presentations at the event.
    Dr. Dirk Jödicke

    Coaching & Prozessoptimierung
    https://www.dirk-joedicke.de/

    Dirk Jödicke studied chemistry in Bochum and Oviedo (Spain). After taking a doctorate in Organic Chemistry, he began his professional career in the sheet glass industry. In laboratories, pilot plants and production facilities in this industry, he worked on innovative glass and plastic composite systems, thin semiconductor films, lithium-ion conductive polymers, electrochromics, photochromics and other systems to exploit variable properties in glass for architectural and automotive applications. Numerous inventions subsequently led to the successful market launch of so-called intelligent windows with variable light transmission. Dirk Jödicke was Head of Research and Development and Head of Quality Assurance, and as a Six Sigma Master Black Belt he is now a freelance consultant for Six Sigma in statistical data analysis, statistical design of experiment, and process optimization.

    Winfried Dietz

    Dietz Consultants
    www.dietz-consultants.com

    Winfried Dietz is the founder and managing partner of DIETZ Consultants with subsidiaries in Asia and North America. He shoulders the responsibility of the FMEA business area development. Winfried Dietz has more than 30 years of practical experience, 25 years thereof as a consultant, trainer and coach. Other areas of interest and work include APQP, 8D, PPAP and functional safety and their interactions. Winfried Dietz is the organiser of the annual Osnabrück FMEA Forum.