In one of our blog posts, we defined what a smart factory is and the factors that have led to its creation. But, just because a factory is automated and uses the technologies mentioned in the last post, does that make it smart? Deloitte has identified the five key characteristics of a smart factory – read on to learn what it takes for a factory to be truly intelligent.
Today’s challenges from increased competition, complex regulatory requirements and heightened safety demands are putting pressure on the manufacturing industry. How can organizations face these challenges and excel in this competitive environment?
The strategy that used to be an exception is now becoming the norm: the most innovative manufacturers in the world are leveraging Machine Learning to improve business processes through tools such as automation, intelligent forecasting and supply chain management, among others.
Reaping the benefits of the Industrial Internet of Things (IIoT) is about measuring just about everything in the factory of the future. As we enter the Industry 4.0 era, where computers and automation are coming together in an entirely new way, with equipment connected remotely to systems equipped and ready with machine learning algorithms - the benefits outweigh the concerns in many facilities worldwide.
Digital twin technology is an integral part of the future success of smart manufacturing. Even though there are numerous intersecting technologies coming together to enable digital manufacturing - there are three in particular that are necessary to focus on in order to employ a new class of digital twin to reach even higher performance levels.