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DTSTART;TZID=Europe/Berlin:20210415T160000
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DTSTAMP:20260423T135956
CREATED:20211004T192405Z
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UID:88943-1618502400-1618506000@www.sixsigmaclub.de
SUMMARY:What to do if it takes too long again?
DESCRIPTION:Brief description:\nThe duration of DMAIC improvement projects is often considered too long. In this paper we will present best practices and also new innovative approaches to accelerate projects based on the current situation.  \nSpeaker:\nHendrik Bienert\, Amazon Fulfillment\nDr. Thomas Rietdorf\, Vodafone GmbH
URL:https://www.sixsigmaclub.de/en/event/what-to-do-if-it-takes-too-long-again/
LOCATION:Online lecture
CATEGORIES:Online lecture
ORGANIZER;CN="European Six Sigma Club Germany e.V.":MAILTO:buero@sixsigmaclub.de
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DTSTART;TZID=Europe/Berlin:20210312T140000
DTEND;TZID=Europe/Berlin:20210312T150000
DTSTAMP:20260423T135956
CREATED:20211004T192524Z
LAST-MODIFIED:20211004T192524Z
UID:88947-1615557600-1615561200@www.sixsigmaclub.de
SUMMARY:Artificial intelligence in production - method overview\, real applications and outlook
DESCRIPTION:Brief description:\nThe great potential of artificial intelligence for production is being touted in many places. With our presentation\, we would like to sort out the jungle of buzzwords surrounding AI and provide an introduction to relevant terms and methods. Using practical examples from the manufacturing industry\, current applications will be presented to inspire people to “copy” them.   \nSpeaker:\nFranziska Schäfer and Jupiter Bakakeu\, both from the Friedrich-Alexander University Erlangen-Nuremberg\, Chair of Manufacturing Automation and Production Systems (FAPS)
URL:https://www.sixsigmaclub.de/en/event/artificial-intelligence-in-production-method-overview-real-applications-and-outlook/
LOCATION:Online lecture
CATEGORIES:Online lecture
ORGANIZER;CN="European Six Sigma Club Germany e.V.":MAILTO:buero@sixsigmaclub.de
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DTSTART;TZID=Europe/Berlin:20201123T080000
DTEND;TZID=Europe/Berlin:20210212T170000
DTSTAMP:20260423T135956
CREATED:20211004T192815Z
LAST-MODIFIED:20211004T192815Z
UID:88948-1606118400-1613149200@www.sixsigmaclub.de
SUMMARY:ESSC-D Advanced Statistics Workshop
DESCRIPTION:Understanding statistics\, expanding tools\, successful training\nBlock 1 (Online) – 23.11.20 and 24.11.20 as well as 26.11.20 and 27.11.20\nSoftskill day (presence preferred) – 4.12.20 or 10.12.20 or 11.12.10\nBlock 2 (presence preferred) – 3.2.21 to 5.2.21 or 10.2.21 to 12.2.21 \nLink to further information: 2020_11_ESSC_Six Sigma-Advanced_Statistics_Workshop
URL:https://www.sixsigmaclub.de/en/event/essc-d-advanced-statistics-workshop/
LOCATION:ESSC-D Workshop / Training
ORGANIZER;CN="European Six Sigma Club Germany e.V.":MAILTO:buero@sixsigmaclub.de
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