Return-Path: Delivered-To: louk@transocean.com Received: from vps.transocean.com by vps.transocean.com with LMTP id cIEoJ3W92Fo/fAAAInt2oQ for ; Thu, 19 Apr 2018 09:01:57 -0700 Return-path: Envelope-to: louk@transocean.com Delivery-date: Thu, 19 Apr 2018 09:01:57 -0700 Received: from omp.news.grceducators.com ([129.145.68.217]:54666 helo=om-axonstech.rsys2.com) by vps.transocean.com with esmtp (Exim 4.89_1) (envelope-from ) id 1f9C0B-0008Iw-EQ for louk@transocean.com; Thu, 19 Apr 2018 09:01:57 -0700 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; s=grceducators; d=news.grceducators.com; h=MIME-Version:Content-Type:Content-Transfer-Encoding:Date:To:From:Reply-To: Subject:List-Unsubscribe:Message-ID; i=grceducators@news.grceducators.com; bh=qWghEfYhyYXMCWB0GFSuvYer70g6yY3lN7E8NQarXYY=; b=OEhgdoCiaLuxKQw958ehnc7NbN0ile4Ik7kmb9K6JOBP4ty10QMwf/sQ0R1nKh4fZ1hj+pvQPlHS Y4qOpovppiCb1IGSrQyUkn4WY7u6KTgrOmjvee6a7eetFQi6Lv+QC23yfehmcrZq397g/fwH1LBc rQYijOFbuk3RDC44GaTPk9qjj6M8LdNcNfn4NOuZ2SYvwtuYDs4HYxKg+zL4Aqmrvad7Ytpd/2nG 1KKntH4RloDBM+zxgwxM2YnDDiAJZysLZF56QkSYlDGxsX6v8QCLlhYD+gG74v3f/yTOFH4PufR/ T75VCwlseNTqZEmfxCbB4Z1+Uyn0QJlIfTmxSQ== Received: by om-axonstech.rsys2.com id hr2um82b6106 for ; Thu, 19 Apr 2018 09:00:59 -0700 (envelope-from ) X-CSA-Complaints: whitelist-complaints@eco.de MIME-Version: 1.0 Content-Type: text/html; charset="ISO-8859-1" Content-Transfer-Encoding: quoted-printable Date: Thu, 19 Apr 2018 09:00:59 -0700 To: louk@transocean.com From: =?ISO-8859-1?B?V2ViaW5hciBVcGRhdGVz?= Reply-To: =?ISO-8859-1?B?V2ViaW5hciBVcGRhdGVz?= Subject: Predicting Product Failure and Warranty Expense using Reliability Models Feedback-ID: 10775:178762:oraclersys List-Unsubscribe: , X-sgxh1: thmsxljHgkhJLHgQJhu X-rext: 5.interact2.EgmBAh06UEbipfMeGUsNOW1omrw_6HtGn2tiQ7RUoEh3j9Q X-cid: axonstech.179542 Message-ID: <0.1.D9.660.1D3D7F79C013AC4.0@om-axonstech.rsys2.com> X-Spam-Status: No, score=2.4 X-Spam-Score: 24 X-Spam-Bar: ++ X-Ham-Report: Spam detection software, running on the system "vps.transocean.com", has NOT identified this incoming email as spam. The original message has been attached to this so you can view it or label similar future email. If you have any questions, see root\@localhost for details. Content preview: : Predicting Product Failure and Warranty Expense using Reliability Models Tuesday, May 15 2018 | 1:00PM EST | 60 Minutes Course Summary [...] Content analysis details: (2.4 points, 3.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- 0.0 URIBL_BLOCKED ADMINISTRATOR NOTICE: The query to URIBL was blocked. See http://wiki.apache.org/spamassassin/DnsBlocklists#dnsbl-block for more information. [URIs: grceducators.com] -0.0 SPF_PASS SPF: sender matches SPF record 0.7 MIME_HTML_ONLY BODY: Message only has text/html MIME parts 0.0 HTML_FONT_LOW_CONTRAST BODY: HTML font color similar or identical to background 0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60% [score: 0.5000] 0.0 T_KAM_HTML_FONT_INVALID BODY: Test for Invalidly Named or Formatted Colors in HTML 0.0 HTML_MESSAGE BODY: HTML included in message 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily valid -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's domain -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature 1.0 FROM_EXCESS_BASE64 From: base64 encoded unnecessarily X-Spam-Flag: NO <=21DOCTYPE html PUBLIC =22-//W3C//DTD XHTML 1=2E0 Transitional//EN=22 =22h= ttp://www=2Ew3=2Eorg/TR/xhtml1/DTD/xhtml1-transitional=2Edtd=22> : Predicting Product Failure and Warranty Expense using Reliabili= ty Models <=21--=5Bif gte mso 11=5D><=21=5Bendif= =5D--><=21--=5Bif =21mso=5D><=21--> <=21--<=21=5Bendif=5D--><=21--=5Bif gte mso 15=5D>96<=21=5Bendif=5D--><=21--=5Bif gte mso 9=5D>96<=21=5Bendif=5D-->
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Tuesday, May 15 2018 =7C 1:00PM EST =7C 60 Minutes
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Course Summary
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T= his webinar will provide specific knowledge required to develop a forecast = of future expected failures both within the warranty period and beyond=2E A= lthough software will be typically used for this task, the underlying conce= pts and methods are explained in some detail=2E Participants will be equipp= ed to apply life data analyses to forecast future failures as well as handl= e common modelling issues such as the presence of non-homogeneous groups in= the data=2E

Manufacturers design and develop products based on an expect= ed product lifetime=2E During the Product Development process, progressive = manufacturers conduct extensive reliability testing to minimize the risk th= at products will fail prematurely=2E Key factors to consider are the usage = environment as well as how customers use the product=2E Despite these effor= ts, unexpected failures may occur due to design flaws, manufacturing proces= s changes, excessive variation, or a misunderstanding of the product use en= vironment=2E

Learning Objectives
  • Ma= ke use of field failure data to develop models to predict future failures
  • De= velop a Warranty Forecast using Reliability Analysis Methods (e=2EWeibull A= nalysis)
  • Ac= count for Model Uncertainty
  • Id= entify Non-Homogeneous groups in the data and account for the impact on the= forecast
  • Re= act quickly to emerging field concerns
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Register Now
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Event Marketing =7C GRC Educators =7C 740-870-0321 =7C support=40grcedu= cators=2Ecom =7C www=2Egrceducators=2Ecom =7C 806 Clark Street, P=2EO Box 1= 71, Philo, OH-43771 USA
© 2018 GRC Educators
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