Instructor:
Daniel O Leary
Product ID: 704856
Bonus Material:
An Excel spreadsheet with the examples from the presentation
Why Should You Attend:
Simulation is a powerful tool to help understand production process, projects and quality assurance activities. Monte Carlo simulation uses random numbers from statistical distributions to help model the activities of interest.
Microsoft Excel, with its built-in functions, allows generation of random numbers from a variety of statistical distributions. These results combined in a simulation can help in understanding processes and activities. This is especially true when the model is difficult or impossible to calculate using analytical methods.
The presentation explains some concepts of statistical distributions needed to generate random numbers. It then explains the methods in Excel, using a random number generator and various inverse functions to illustrate the methods. Example illustrate the methods so participants can see the application and the results. The examples also explain how to construct Excel spreadsheets for simulations.
Areas Covered in the Webinar:
Who Will Benefit:
Manufacturers involved in process improvement projects
Dan O'Leary is President of Ombu Enterprises, LLC, a company offering training and execution in Operational Excellence, focused on analytic skills and a systems approach to operations management. Dan has more than 30 years’ experience in quality, operations, and program management in regulated industries including aviation, defense, medical devices, and clinical labs. He has a Masters Degree in Mathematics; is an ASQ certified Biomedical Auditor, Quality Auditor, Quality Engineer, Reliability Engineer, and Six Sigma Black Belt; and certified by APICS in Resource Management.
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