Using Monte Carlo Simulation to
Aid Your Medical Device Design


Thursday, May 14, 2020 • 1:30 p.m. - 3:00 p.m. EDT

Determining the impact of risk and uncertainty in medical device design is critical.

Did you know that Microsoft Excel can help predict product outcomes when combined with Monte Carlo simulation?

Monte Carlo simulation uses random numbers from a variety of statistical distributions to assess risk and uncertainty in forecasting models. With its built-in functions, Excel can generate random numbers to inform simulation, helping practitioners evaluate processes and activities, particularly for models that are difficult to calculate using analytical methods.

Join FDAnews and presenter Dan O’Leary and discover how to use Monte Carlo simulation for medical device design during a webinar Thursday, May 14.

Key Webinar Takeaways:

  • Determine the use of models in assessing activities and processes
  • Critically evaluate the role of Monte Carlo simulation in the model
  • Use Excel to generate random numbers
  • Examine the relationship between probability density functions and cumulative density functions
  • Apply Excel functions that can produce random numbers from various statistical distributions
  • Combine the random numbers in the model to produce results

BONUS MATERIAL: An Excel workbook with examples from the presentation is included.

Understand the impact of risk and uncertainty in prediction and forecasting models. Join us by registering today.

Who Will Benefit

  • Medical Device Manufacturers
  • Quality Managers
  • Quality Engineers
  • Manufacturing Managers
  • Design Project Team Members
  • Data Analysts
  • Statistical Analysts

Webinar plus USB Audio Recording/Transcript
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$487

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Webinar only
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$287

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24/7 Encore plus USB Audio Recording/Transcript
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$487

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24/7 Encore Presentation
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$287

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USB Audio Recording/Transcript
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$287

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Meet Your Presenter

Dan O’Leary

President
Ombu Enterprises, LLC

Your webinar leader is Dan O’Leary, President of Ombu Enterprises, LLC, a company offering training and execution in Operational Excellence that focuses on analytic skills and a systems approach to operations management. Dan has more than 30 years of experience in quality, operations, and program management in regulated industries including aviation, defense, medical devices, and clinical labs. He has a master’s degree in mathematics, is an ASQ certified Biomedical Auditor, Quality Auditor, Quality Engineer, Reliability Engineer, and Six Sigma Black Belt. He is also certified by APICS in Resource Management.

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