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Screening Experiments Using Plackett-Burman Design

At the initial stages of industrial experimentation, it's common for an investigator to identify a large number of potential variables/factors, which usually results in a large number of runs for the experiment. To avoid this, the investigator might choose to first use a "screening design" to identify those factors that have large effects on the response. In such designs, only main effects are estimated; interactions between factors are usually considered insignificant and are neglected. The Plackett-Burman design type is a two level fractional factorial screening design for studying N-1 variables using N runs, where N is a multiple of 4. In this article, we will present an example using a Plackett-Burman design in DOE++.


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ReliaSoft Success Story Videos on

View the stories of two ReliaSoft customers who have been using the software for years, and learn which tools helped them achieve their reliability goals. These case studies give insight into the many ways that ReliaSoft tools can provide benefits to an organization, including time savings, agility and reductions in both time-to-market and cost. Watch the videos at and


ReliaSoft at RAMS 2015

The upcoming Annual Reliability and Maintainability Symposium will be held January 26 - 29, 2015 in Palm Harbor, FL. ReliaSoft will have a booth to showcase the Synthesis Platform® and its capabilities, with reliability experts ready to answer your questions — so be sure to stop by! We will also be presenting four tutorials and two papers. We look forward to seeing you there! You can find more program details at


Congratulations to the 2014 ARS India Excellent Presentation Award Winners!

The recent Applied Reliability Symposium India in Bangalore was a great success all around! Thanks to all the presenters who took time to prepare presentations and share their experiences with attendees. Big congratulations to the Excellent Presentation Award Winners, selected based on votes cast by Symposium attendees!

  • Gold - Abhay Laxmanrao Waghmare from HCL Technologies Ltd.
    Degradation Analysis - A Technique to Estimate Product Reliability for Zero Failures ALT
  • Silver - Randolph Phillips from Baker Hughes
    Optimizing Failure Reporting and Corrective Action Systems (FRACAS) to Achieve Commercial Service Reliability in the Oil and Gas Services Industry
  • Bronze - Tarun Kumar Taisun from Crompton Greaves Ltd.
    Reliability Analysis of Destructive Degradation Life Test Data with Multiple Failure Modes - A Case Study

If you are interested in participating in any future ARS as a presenter, learn more about the benefits of being a presenter at

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