BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv6.5.3//EN
X-ORIGINAL-URL:https://biiworld.com/
X-WR-CALNAME:BII World
X-WR-CALDESC:Engage | Empower | Enlighten
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
DTSTART;TZID=Asia/Kolkata:20230612T130000
DTEND;TZID=Asia/Kolkata:20230616T170000
DTSTAMP:20221110T174300
UID:MEC-82ba9d6eee3f026be339bb287651c3d8@biiworld.com
CREATED:20221110
LAST-MODIFIED:20230310
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Design of Experiments (DOE) for Product / Process Optimization
DESCRIPTION:(ADVANCE LEVEL – Course)\n\nReal Time Online Delivery – Live Training Sessions\nVirtual Attendance for 5 Days Training\nGuided Learning Hours – 20 (4 Hrs x 5 Days)\nComprehensive Learning Kit\n\nCourse Overview\nThis 5 Day Online (Advanced DOE 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.\nThis course agenda builds on the fundamental DOE concepts and experimental designs learned in the first Design of Experiments course. This course teaches participants how to efficiently build upon results obtained from screening (e.g. fractional factorial) experiments. More advanced experimental designs necessary for optimizing processes are covered in detail.\nThese 4 hours/per day highly interactive course will allow participants the opportunity to practice applying DOE techniques with various data sets using statistical software. The objective is to provide participants with the key tools and knowledge to be able to apply the methods effectively in their process definition/improvement activities and product development efforts. Participants will learn how to design effective experiments, conduct them, and analyze and interpret the results.\nTrainer’s Profile\nOur expert trainer has experience of 30+years in the application of statistical methods to optimize product designs and manufacturing processes and to assess product liability risk.\nA highly sought-after expert witness in product liability litigation, has enjoyed working with companies of all sizes around the world on a variety of training, consultancy. Our expert regularly consults and serves as a testifying witness for cases involving failure root cause determination, risk assessment, product quality, product reliability, warranty, and process control.\nAreas of expertise include designed experimentation, reliability analysis, general statistical methods, statistical process control, measurement system assessment, and\nstochastic optimization. Adjunct professor in the College of Engineering at the University of Michigan.\nKey Takeaways\n\nDevelop advanced knowledge of the concepts and methods behind statistically based experiments\nUtilize software to simplify analysis without compromising understanding of key concepts\nDesign experiments efficiently and effectively\nUse phased experimentation approach to optimize products and processes\nBuild predictive models that may be used to jointly optimize multiple responses\nCommunicate results to customers, suppliers, management, and other stakeholders\nApply experimental techniques correctly (e.g., randomization, replication, repetition, blocking, etc.)\n\nWho Should Attend\n\nScientists\nProduct and Process Engineers\nDesign Engineers\nQuality Engineers\nPersonnel involved in product development and validation\nLaboratory Personnel\nManufacturing/Operations Personnel\nProcess Improvement Personnel\n\n\nFor participation details contact\nMithun Siddartha\nmithun.siddartha@biiworld.com ( mailto:mithun.siddartha@biiworld.com )\n+1 780 851 7197 (Canada)\nFill the details below to request your Brochure\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n×\n
URL:https://biiworld.com/trainings/design-of-experiments-doe-for-product-process-optimization-12-16-june-2023/
ATTACH;FMTTYPE=image/jpeg:https://biiworld.com/wp-content/uploads/2021/10/web_DOE.jpg
END:VEVENT
END:VCALENDAR