BALTIMORE, MD, November 12, 2024 – New research in the INFORMS journal Manufacturing & Service Operations Management is guiding the development of more inclusive and efficient electricity markets. The work demonstrates how aggregating small-scale, distributed energy resources (DERs) like solar panels can effectively balance the power of large utility companies.
Global supply chains are undergoing an irrevocable shift. While material flows remain critical, they are only the most visible aspect of this transition. Beneath the surface, changes in information exchanges, financial reconfigurations, and human capital movements are posing far greater risks to the benefits of global trade. The US, China, and the rest the world must handle these changes with care and perspective.
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A new study in the INFORMS journal Marketing Science conducted research designed to examine the challenge of how to most efficiently use user generated content (UGC) to identify customer needs in ways that are more cost-efficient and accurate.
Kayse Lee Maass, an INFORMS member and assistant professor of mechanical and industrial engineering at Northeastern University, believes engineers have tools that can help fight human trafficking. The same techniques used to model supply chains or plan media campaigns can be adapted to find ways to disrupt trafficking networks or organize support services for survivors.
New research in the INFORMS journal Marketing Science has found that machine learning can really improve the process of identifying consumer needs. Consumer brands globally have long used old-fashioned focus groups. They have also used surveys and interviews to gauge consumer needs, wants, and desires. They have used them as part of the processes that include marketing, sales, and product development.
CATONSVILLE, MD, February 7, 2019 – Consumer brands have long used old-fashioned focus groups, interviews and surveys to best gauge consumer wants, desires and needs as part of processes that range from product development, to marketing and sales. As machine learning and artificial intelligence (AI) have emerged, there is an increasing interest in the ability to harness these solutions to save time and money, and to yield more reliable consumer insights.
CATONSVILLE, MD, February 6, 2019 – The traditional model for setting auto insurance premiums has been to base rates on the motorist’s driving history, age, gender and even marital status (in some states). Thanks to new technological options, insurance companies and motorists have started to work together to give the insurance companies access to better data on an individual driver’s risk level, and give the same driver a sense of greater control over how much he or she will pay in insurance premiums.
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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