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How Reliable is YTEOL Forecasting?

Find out how YTEOL forecasting can positively drive your obsolescence decisions and discover the best tools available to support your lifecycle planning.

YTEOL Forecasting and Reliability

Electronic component obsolescence presents challenges to product design that are often costly. In this whitepaper, we review YTEOL forecasting strategies and results from our YTEOL algorithm. This report will include:

  1. Solutions for Proactive Obsolescence Management
  2. YTEOL Test Methodology
  3. Reliability Results

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"Managing our component database and keeping it updated was a daunting task. Our engineers require the latest information on the electronic components selected for our products and any lapse in the availability or freshness of the data is simply not acceptable. If it weren’t for SiliconExpert’s tools, we would still be living in the stone age.”

John Starr | Component Engineer | Intermec, Inc.

“In the movement to normalize processes, our teams recognized SiliconExpert as the tool that helped us achieve a lot more than expected during our data transition phase. With access to unparalleled amounts of unbiased and complete component data, we immediately realized how much potential time and money could be saved just with the BOM Manager alone. With everything considered,SiliconExpert presented the fastest and best solution.”

Erwan Rivet | Director of Engineering | Honeywell

"In the past, obsolescence data was limited to available/not available stats provided directly by part manufacturers. Parts were selected with little to no insight into their obsolescence lifecycle, leaving the possibility of selecting a soon-to-be obsolete part dangerously high. We’ve seen some nice savings in man hours, rather than going to a bunch of different sources, which is very time consuming, we can often just go to SiliconExpert and get the data we need right away.”

Lenny Tosto | Engineer | Northrop Grumman