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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20240328T213808Z
UID:59335d9b-335f-4cd6-8848-5700f90857e2
DTSTART:20210514T090000
DTEND:20210515T090000
CLASS:PRIVATE
DESCRIPTION:
\n
This course takes a balanced approach presenting basic DoE theory as well
as numerous examples of DoE use in the pharmaceutical industry. The course
will discuss statistical and practical significance\, assumptions and lim
itations of DoE methodology\, together with practical approaches for the p
rocess scientist to be in control of the DoE investigation (and not the co
mputer).
\n
\nPrecedent and experience compel many chemists to u
se OVAT experimentation in spite of its incomplete nature\, and in spite o
f its inability to detect factor interactions\, e.g.\, cases when the impa
ct of one factor depends on the level of another factor. When such interac
tions occur between scale dependent and scale independent factors\, ignori
ng such factor interactions can lead to high risk process scale-up and tec
hnology transfer.
\n
\nParticipants will learn how to design eff
ective screening experiments\, how to use response surface methods for rea
ction and analytical method development\, how to design robust processes\,
and how to quantify the risk associated with the implementation of the pr
ocesses developed. Several commercial DoE software platforms will be revie
wed.
\n
\nFor the benefit of process scientists\, engineers\, fo
rmulators\, analytical chemists and manufacturing personnel\, this course
includes highly interactive\, hands-on workshops.
\n
\nU
RLs:
\nBooking: https://go.evvnt.com/323767-0?pid=1052
\nTickets: https://go.evvnt.com/323767-1?pid=1
052
\nBrochure:
https://go.evvnt.com/323767-3?pid=1052
SUMMARY:Design of Experiments\, Boston\, 2021
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SUMMARY:Design of Experiments\, Boston\, 2021
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