ISE Associate Professor Tom Sharkey recently visited Utqiagvik (formerly known as Barrow), Alaska in order to understand the community’s perspective on emergency response in the Arctic and how the types of infrastructure development that would most benefit the communities of the North Slope Borough of Alaska. As part of this visit, Professor Sharkey and colleagues met with people working in emergency response, risk management, and infrastructure planning for the North Slope Borough as well as representatives from various indigenous community groups. An important part of this research was
ISE News and Events
PhD student Mario Arrieta-Prieto won 2nd place in the Best Poster competition at the Technical University of Denmark’s (DTU) 2019 energy summer school, “Data-Driven Analytics and Optimization for Energy Systems”. Presented for his research on “Short-term Forecasting of Wind Power Output’s Predictive Densities via DVINE Copulas”, the award recognizes outstanding modeling efforts in statistics and operations research developed for applications in power systems.
The RPI IIE (Institute of Industrial Engineers) Student Chapter has won the Silver Award for 2019. The award recognizes the chapter's overall achievements in AY 2018-2019.
Last year, the chapter along with IISE have arranged to offer two certificates every year on campus for Six Sigma and Lean Green Belts. Plans for next year include guest speakers, plant tours, social events, and much more.
The chapter is also planning to host the IISE Regional Conference for the Northeast Region in 2022!
Ning Zhang received first place in the Undergraduate Student Research Dissemination competition given at the 2019 Institute of Industrial and Systems Engineering (IISE) Annual Conference in Orlando, FL. The award was given by IISE’s Operations Research division. The award recognizes undergraduate researchers for their contributions to the field of industrial engineering and operations research, as well as their ability to communicate results effectively. The award evaluation was based on both a written conference paper and an oral research presentation.
In this feature article, Tom Willemain provokes a good deal of thought about the role of statistical models in supply chain forecasting, a field that he believes lags far behind finance in embracing algorithms over gut instinct. His article is followed by Commentaries from practitioners and researchers about the realities that can lead to "model failure" and the conditions for successful implementation of model-based decision making.
Institute News
TROY, N.Y. — More strategic and coordinated travel restrictions could have reduced the spread of COVID-19 in the early stages of the pandemic, data confirms. The conclusion, available in preprint on MedRxiv, an online repository of papers that have been screened but not peer reviewed, stems from new modeling conducted by a multidisciplinary team of scientists and engineers at Rensselaer Polytechnic Institute.
In order to earn certification in general surgery, residents in the United States need to demonstrate proficiency in the Fundamentals of Laparoscopic program (FLS), a test that requires manipulation of laparoscopic tools within a physical training unit. Central to that assessment is a quantitative score, known as the FLS score, which is manually calculated using a formula that is time-consuming and labor-intensive.
TROY, N.Y. — If builders could incorporate solar harvesting into the siding of a building, the amount of energy from the grid that a structure would need may significantly decrease.
TROY, N.Y. — The COVID-19 pandemic has brought about an increase in telework and online commerce, and a significant decrease in the number of personal trips people are making. Understanding the effects of these rapid changes on the economy, supply chains, and the environment will be essential, as some of these behaviors will continue even after the pandemic has ended.
TROY, N.Y. — With COVID-19 still spreading in the United States, where it has already killed more than 140,000 people, improved screening and treatment options are critically important for high-risk patients with comorbidities, such as diabetes, pulmonary disease, and cardiovascular disease.