Planning has almost always been a semi-structured process—at best—within organizations. It has typically involved some number of individuals sticking up their fingers into the wind to make ...

Machine learning has been successfully applied to demand planning, but leading suppliers of supply chain planning are beginning to work on using machine learning to improve production planning. But ...

Keshia Vaughn looks at how machine learning can transform commercial planning and outlines what teams will need to deploy it effectively. Chances are, if you are a pharmaceutical executive, you will ...

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

Machine learning—it’s a ubiquitous buzzword that’s used loosely but at the same time widely misunderstood. Like many powerful technologies, machine learning has the potential for great business ...

In today's dynamic business environment, effective resource allocation is paramount. Traditional methods of capacity planning, while foundational, often struggle to keep pace with rapid market shifts ...

• Some of the toughest challenges in an engineering project are organizational rather than technical. • The process of selling your ideas to other departments can be as important as having sound ...

Prior knowledge needed: ECEA 5385 Industrial IoT Markets and Security, experience with technical writing, foundational knowledge and experience in embedded systems architecture, C programming, ...

Automation engineers must carefully manage the expectations and realities of machine vision systems to avoid project delays or failures. Misconceptions about when to integrate vision inspections often ...

Digitalization sounds like a word straight out of the “Tron” movies: the representation of an object or process in the virtual world so that one can simulate movement, predict actions, and provide ...