For most of a decade, I have led replacement-demand planning for low-voltage automotive batteries, where this failure mode is ...

Editor’s note: This article first appeared on the University of Tennessee, Knoxville’s Global Supply Chain Institute’s blog. It is being reprinted with permission. You can read the original post here.

Precision has become one of the most valuable strategic assets a company can possess. Whether forecasting demand for the next major book release or balancing production across global supply chains, ...

Organizations use forecasting methods of production and operations management to implement production strategies. Forecasting involves using several different methods of estimating to determine ...

Forbes contributors publish independent expert analyses and insights. I cover logistics and supply chain management. There are a lot more demand forecasts being made today at companies then their used ...

LONDON--(BUSINESS WIRE)--Quantzig, a premier data analytics and advisory firm that delivers actionable analytics solutions to resolve complex business problems, has announced the completion of its ...

AI market forecasting is reshaping how organizations anticipate demand, risk, and opportunity by processing massive volumes of structured and unstructured data in near real time. Modern systems ingest ...

Project management has long been a people-led aspect of the workplace, but that has slowly been changing. Trends in automation, big data and AI have not only ushered in a new wave of project ...

A global pharmaceutical company approached J+D when it required a solution for a robust process management system to provide it with a solid foundation when forecasting its pipeline assets. Members of ...

Analyst Insight: As parcel networks normalize post-pandemic but cost structures evolve, forecasting and demand planning have become continuous, data-driven disciplines. Shippers that integrate ...

Electrification and evolving load shapes are creating dual peak systems where both summer and winter now drive critical grid stress. Traditional single-season, single-scenario forecasting is no longer ...