The INFORMS Analytics+ Conference showcased how companies are turning advanced analytics and AI into measurable operational results
In most emergency departments, beds are a hot commodity. But some patients don’t actually need a bed for their treatment – and accurately identifying those people is a low-lift but effective way to increase efficiency without sacrificing care quality, finds a study recently published in the journal Management Science.
The researchers developed a simple decision tree, informed by mathematical and machine learning models, to help staff decide whether a patient truly needs a bed or can be routed to a “vertical processing pathway” – that is, an area where they can be treated sitting up. Many hospitals already have such an area but don’t necessarily have a systematic way to decide which patients are treated there.
American teenagers start their school day too early.
Medical experts have been clear for years: sleep cycle changes during puberty make it hard for teenagers to learn in the early morning. Later school start times have been linked to better sleep, improved mental health, stronger academic performance and even safer driving.
Most school district leaders know about this problem and care about fixing it. But changing the schedule can feel operationally impossible.
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The hardest part of work is getting started.
It’s never been easy — there’s something about human nature that makes many of us wait and wait for the ‘perfect moment’ to open that Word doc or switch on the phones. However, science has shown that today’s plugged-in workforce genuinely has a tougher challenge than our ancestors.
Consumers—and educators—use Facebook’s business pages to make their opinions known, and now an academic study finds that negative posts outpace the positive ones for Fortune 500 companies by a wide margin.
If you were asked to predict which industry would suffer more from the legalization of recreational marijuana, the alcohol industry or the tobacco industry, which would you choose? This was the question explored in a new article appearing in the journal Marketing Science.
Delays and disruptions in airline operations annually result in billions of dollars of additional costs to airlines, passengers and the economy. Airlines strive to mitigate these costs by creating schedules that are less likely to get disrupted or schedules that are easy to repair when there are disruptions—new research in the INFORMS journal Transportation Science has found a solution using a mathematical optimization model.
CATONSVILLE, MD, October 7, 2019 – Delays and disruptions in airline operations annually result in billions of dollars of additional costs to airlines, passengers and the economy. Airlines strive to mitigate these costs by creating schedules that are less likely to get disrupted or schedules that are easy to repair when there are disruptions—new research in the INFORMS journal Transportation Science has found a solution using a mathematical optimization model.
OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.
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Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
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