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Full-Text Articles in Physical Sciences and Mathematics
Techno-Economic Feasibility Analysis Of A Fully Mobile Radiation Oncology System Using Monte Carlo Simulation, Alex T. Price, Casey I. Canfield, Geoffrey D. Hugo, James A. Kavanaugh, Lauren E. Henke, Eric Laugeman, Pamela Samson, Clair Reynolds-Kueny, Elizabeth A. Cudney
Techno-Economic Feasibility Analysis Of A Fully Mobile Radiation Oncology System Using Monte Carlo Simulation, Alex T. Price, Casey I. Canfield, Geoffrey D. Hugo, James A. Kavanaugh, Lauren E. Henke, Eric Laugeman, Pamela Samson, Clair Reynolds-Kueny, Elizabeth A. Cudney
Engineering Management and Systems Engineering Faculty Research & Creative Works
PURPOSEDisparities in radiation oncology (RO) can be attributed to geographic location, socioeconomic status, race, sex, and other societal factors. One potential solution is to implement a fully mobile (FM) RO system to bring radiotherapy to rural areas and reduce barriers to access. We use Monte Carlo simulation to quantify techno-economic feasibility with uncertainty, using two rural Missouri scenarios.METHODSRecently, a semimobile RO system has been developed by building an o-ring linear accelerator (linac) into a mobile coach that is used for temporary care, months at a time. Transitioning to a more FM-RO system, which changes location within a given day, presents …
Maintenance Optimization In A Digital Twin For Industry 4.0, Abhijit Gosavi, Vy Khoi Le
Maintenance Optimization In A Digital Twin For Industry 4.0, Abhijit Gosavi, Vy Khoi Le
Engineering Management and Systems Engineering Faculty Research & Creative Works
The advent of Internet of Things and artificial intelligence in the era of Industry 4.0 has transformed decision-making within production systems. In particular, many decisions that previously required significant human activity are now made automatically with minimal human intervention via so-called digital twins (DTs). In the context of maintenance and reliability modeling, this naturally calls for new paradigms that can be seamlessly integrated within DTs for decision-making. The input data for time to failure needed in reliability computations are directly collected from the work center in a digital setting and often do not satisfy a known distribution. A neural network …