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UID:20260430T143148EDT-3327HdwRRp@https://www.cimdata.com/
DTSTAMP:20260430T183148Z
DESCRIPTION:Safer Complex Products use Digital Engineering and Agile Proces
 ses \nA Complimentary CIMdata Educational Webinar with Craig Brown\, Execu
 tive Consultant\, CIMdata\n8 September 2022 11:00 EDT | 08:00 &nbsp\;PDT |
  17:00 CEDT\nRegister&nbsp\;About our Speaker\nDo any of the following sta
 tements sound familiar?\n\n\nRealtime data collection from the application
  of products is common\, leading to vast amounts of usage data that contai
 ns usage patterns and insights to problems and desires\nWhile IoT measurem
 ents may identify application improvements in deployed products\, how can 
 these enhancements be validated without substantial prototype investments 
 before mass production?\nHow can companies benefit from this mountain of d
 ata to improve products without compromising safety?\n\n\nAt CIMdata\, we 
 discuss\, research\, and present trends in the application of computer-bas
 ed product development\, manufacturing\, and service. Product complexities
  are increasing as they become more computer controlled\, with some emergi
 ng automation. Digital engineering can assist operational feedback as it h
 as done for faster\, higher quality product development and manufacturing.
  PLM and digital twins can help manage the safety-critical elements of a p
 roduct when combined with real-time data analytics. Use of the Digital Twi
 n after mass production has not been discussed as much as it should be. In
  2021\, we presented the idea\; here in 2022\, we continue the discussion\
 , especially around assuring safety.\nThe historic validation processes dr
 iven by manufacturing robust\, durable products are being augmented\, even
  expanded\, by the inclusion and expansion of capabilities that change aft
 er the product is in the customer’s possession. Product complexity is prop
 ortionally increasing with more embedded electronics and application softw
 are. New use cases may be discovered after mass production and product com
 panies will need to take advantage of their products connectedness—being a
 ble to inexpensively upgrade a product\, to improve the product’s safe ope
 ration. Assuring safety of a product after it is mass produced requires ne
 w strategies for continuous validation. Managing the risks within field up
 grades can be improved with the continuous application of PLM\, digital tw
 ins\, and real-time data analytics using rigorous processes.\nWhat will I 
 learn?\n\n\nYou will learn how and why CIMdata’s PLM definition covers the
  complete lifecycle\, including operations.\nYou will understand more abou
 t PLM market growth in electronics design\, modeling\, simulation\, and fo
 undry certification.\nYou will understand how an operational digital twin 
 can put data in context\, which in turn makes validation manageable.\nYou 
 will learn how PLM supports conformance to standards\, such as those for F
 unctional Safety (ISO-26262)\, SOTIF (Safety of the Intended Function)\, C
 ybersecurity (ISO-21434)\, as well as the classic APQP (aka IATF – 16949)\
 , thus improving product development practices.\nYou will learn why organi
 zations need to change as products become services – PLM will ease this ev
 olution.\n\n\nWho should attend?\n\n\nQuality managers\, PLM leaders\, dat
 a scientists\, product and tool applications developers\, and validation l
 eaders and their management that feel the need to understand how PLM will 
 help improve product safety.\nIndividuals who have a strong need to assure
  product safety.\nSolution providers looking for a framework to help produ
 ct developers manage the complete lifecycle.\n\n\nDuring the webinar you’l
 l also have the opportunity to ask questions about the topics discussed.\n
 &nbsp\;
DTSTART:20220908T150000Z
DTEND:20220908T160000Z
LOCATION:On-line ()
SUMMARY:Webinar: Safer Complex Products use Digital Engineering and Agile P
 rocesses
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