I’ve made the argument before that the Internet of Things is nothing new. In the logistics space, for example, we’ve been taking RF scans and using that data to improve warehouse processes since at least 1975 when McHugh Freeman, an…
Machine learning is helping support more efficient supply chains. Machine learning is being discussed more often in supply chain contexts because of the buzz created by the Internet of Things (IoT). This article gives an interesting supply chain use case for machine learning, and defines and explains the technology.
IoT projects often become Big Data projects. Distributing more intelligence down to the device level could help prevent database bloat and streamline the corporate application environment. But these decisions are not clear cut. There are pros and cons associated with either distributing or centralizing both IoT intelligence and data.
At the beginning of the year the ARC supply chain team made supply chain predictions for 2015. This article circles back and reports on how we did. Very often any predictions you can make for a one year period are…
By offering IoT-enabled condition monitoring, spare parts, and equipment repair services, equipment OEMs can remotely monitor asset health in their customers’ plants, anticipate failures, order the parts, and often execute repairs before the failure occurs.
In my keynote, I stressed that Smart Manufacturing initiative around the world, are all inspired by research that indicates that manufacturing growth, competitiveness and resilience are directly correlated with high technology intensity and manufacturing complexity as well as quality. These…
