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.
In December, the US Congressional-Executive Commission on China issued its annual report, accusing Hong Kong of eroding freedoms and aiding Russia in its war against Ukraine. These allegations sparked speculation about potential United States sanctions, including disconnecting Hong Kong from the SWIFT worldwide banking system, which could trigger a depegging of the Hong Kong dollar (HKD) from the US dollar (USD). However, such extreme measures are unlikely, as they would require support from the European Union and other allies and could destabilize the global financial system. In fact, depegging the HKD from the USD would more likely be triggered by a significant dwindling of reserves in Hong Kong rather than a drastic US policy shift.
The final week of the NFL regular season has a handful of teams jockeying for playoff position. Just one upset loss can move a team from hosting a first-round game to an early offseason.
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Testing and vaccination for monkeypox became available in all Georgia health districts last week, according to the state health department.
Over the past two-plus years, global supply chains have been stretched beyond recognition. Yet stretched is not broken, and covid-19 may serve as the launch pad to create a new and improved global supply chain model.
The Biden administration’s response has made key mistakes in handling the emerging threat. We hope this situation serves as a wake-up call to rethink and re-tool emergency response policies and practices.
In the middle of the ongoing coronavirus pandemic, we're facing a second global, viral crisis: monkeypox.
If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? In times that continue to defy our ability to predict them, the words of famous statistician George Box have never been more right: “All models are wrong, but some are useful.” So what can we do to make models more useful? Artificial intelligence and machine learning (AI/ML) can improve forecast accuracy, but a bigger problem is the failure to set accurate expectations around forecasting models, not the accuracy of the models themselves. For supply chains to get more use from their models, we need to “trust the box;” recognize that models are not the holy grail; and remember that a forecast is an input into making better decisions, not an end in and of itself.
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