Predictive Warranty using Paynter Charts

  Duration: 60 Minutes  


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Price: US$190.00

Jd Marhevko   Product Id : 500635
  Instructor : Jd Marhevko

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This session shows practitioners how to develop and create a Paynter Chart for predictive warranty management. Attendees will see how to actively utilize representative return data, observe the construction of a sample Paynter and then observe the results of the predictive analysis.

Successful examples will be shared. Attendees will walk away with a model that they can apply to their own organizations while learning how to mitigate business cost exposure.

  • What’s a Paynter: A review of a basic Paynter chart format utilizing Excel and reviewing stack graph behavior.
  • Understanding about TOM (Time of Manufacture) is key to effectively leveraging predictive analysis. Leveraging TOM, understanding the time lag difference from production release to product return is key to developing an effective Paynter and determining business and consumer risk. Samples of how to present warranty trends to management will be provided.
  • It’s Already Been Shipped! A high level review of how to determine basic indicators for product containment, levels of internal/external communication of an issue, cost planning and mitigation for managing identified concerns
  • Improving the Product. There are generally three causes for product to fail prematurely: It was produced improperly, there is a supply chain issue with the materials or it was not designed robustly enough. The audience will review options of how to take their Paynter observations and drive the information back into the business for customer satisfaction and product/process improvement.

Why should you Attend: Quality practitioners must understand how their VOC field return information can be leveraged to aid them in proactively mitigating risk and working across the supply chain when something goes wrong.

Utilizing Paynter charts enables a quality team to construct a story of cause and effect and general risk. Paynters are an easier and "not overly statistical" method that quality personnel can use to show customers predictive field results. Participants come away with a practical sample which they can literally apply on their next business day. Note: This session ranked 3rd overall at a previous ASQ conference w/over 250 presenters

Note: This session has consistently ranked in the top 1-5% at previous conferences at more than 5 venues. It was featured in ASQ QMD's special edition of the Quality Management Forum's 2015 Spring edition. A Webinar of this topic was provided in 2015 via the ASQ QMD Linkage Technical Committee to >1300 respondents through the IMA and ASQ QMD

Areas Covered in the Session:
  • To help people understand how Paynter Charts can be effectively utilized for predictive warranty management.
  • Increased understanding of how to share results with management to mitigate business exposure.
  • Increased understanding of how to leverage visual tools to show process results.

Who Will Benefit:
  • Quality, Lean and Engineering system practitioners
  • Directors
  • Vice-Presidents
  • Engineers
  • Analysts
  • Managers, etc.

Speaker Profile
Jd Marhevkohas served as Vice President of Quality and Lean for Accuride Corporation since April 2012, having joined the company as Vice President, Quality in January 2012. She has been involved in Operations and Quality/Lean/Six Sigma efforts across a variety of industries for more than 25 years. Extensively experienced in developing cost-effective and value-added quality and lean systems enterprise-wide, Marhevko has an impressive track record of success in aligning goals to drive process improvement and productivity.

Marhevko came to Accuride Corp. from Global Productivity Solutions and JQLC, Inc., where she served as Business Excellence Consultant. She previously held quality, performance and operations positions at SPX Test & Measurement, Eaton Global-Hose Division, Cincinnati Milacron, Cherry Automotive, and Robert Bosch Corporation. Marhevko is an American Society of Quality (ASQ) Fellow, ASQ Certified Six Sigma Black Belt (CSSBB), ASQ Certified Quality Engineer (CQE), ASQ Certified Manager of Quality/Organizational Excellence (CMQ/OE), an ASQ Certified Trainer for a variety of Quality Tools including Hoshin Kanri and Strategic Planning. She is the Immediate Past-Chair of the ASQ Quality Management Division (QMD) which has more than 23,000 global members.

Additionally, she is a certified Master Black Belt (MBB) from Allied Signal; has held various Malcolm Baldrige National Quality Award (MBNQA) Senior Assessor roles; and held a Quality Systems Auditor (QSA) certification from the International Register of Certified Auditors (London, England) for more than 10 years.

Marhevko earned a Bachelor of Science in Mechanical Engineering degree from Oakland University, and a Master of Science in Administration in Manufacturing Plant Management from Central Michigan University.

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