| description |
<p>Tim Anderson's group from PSU will present at our July meetup!</p>
<p><strong>Title:</strong> <br>
Benchmarking and Technology Forecasting using DEA in R and Shiny</p>
<p><strong>Description:</strong> <br>
The PSU <a href="http://www.pdx.edu/extreme-technology-analytics/">Extreme Technology Analytics</a> Group is working on developing R and Shiny tools for doing quantitative benchmarking and forecasting of new product capabilities using Data Envelopment Analysis, DEA. Experiences of working on a new package will be discussed, application area opportunities, and a demo of the R-Shiny web app will be covered.</p>
<p><em>Okay, that was a mouthful.</em> How do we use this? DEA can be used for benchmarking a wide range of applications including schools, factories, employees, and hospitals.</p>
<p>A new approach for technology forecasting using DEA, TFDEA, has been developed at Portland State and allows us to predict where product technology is moving. Past applications include hybrid electric vehicles, microprocessors, LCD panels, fighter jets, and many others.</p> |
→ |
<p>Tim Anderson's group from PSU will present at our July meetup!</p>
<p><strong>Title:</strong> <br>
Benchmarking and Technology Forecasting using DEA in R and Shiny</p>
<p><strong>Description:</strong> <br>
The PSU <a href="http://www.pdx.edu/extreme-technology-analytics/">Extreme Technology Analytics</a> Group is working on developing R and Shiny tools for doing quantitative benchmarking and forecasting of new product capabilities using Data Envelopment Analysis, DEA. Experiences of working on a new package will be discussed, application area opportunities, and a demo of the R-Shiny web app will be covered.</p>
<p><em>Okay, that was a mouthful.</em> How do we use this? DEA can be used for benchmarking a wide range of applications including schools, factories, employees, and hospitals.</p>
<p>A new approach for technology forecasting using DEA, TFDEA, has been developed at Portland State and allows us to predict where product technology is moving. Past applications include hybrid electric vehicles, microprocessors, LCD panels, fighter jets, and many others.</p> |