Vopak, a leading operator of tank terminals, is undergoing a digital transformation. One of their projects occurred at their Savannah terminal. New sensors, machine learning, and optimization drove significant energy savings.
New solutions have emerged that bridge the gap between supply chain planning and execution. These solutions have a middleware layer that is critical. The middleware allows for a feedback loop that can allow the system to get smarter.
As technology evolves and demand increases, supply chain managers are facing new challenges particularly as they attempt to compete on a global level. Traditional supply chain operations utilizing an optimization engine based on a single network can no longer provide the service that businesses and consumers require. Complacent companies struggling to meet customer demands with […]
A water purification company in Brazil can have the demand for their water treatment and sewage services increase as much as four times on a sunny day on a weekend. To more accurately forecast demand, they count the number of vehicles driving into the community. Demand analysis also relies on a forecast of weather conditions and historical tourism data. They are also prototyping IoT, Big Data, machine learning, and predictive analytics for process optimization.
JDA is working toward providing off the shelf solutions that allow companies to use SNEW data – social media, news, event, and weather data – to improve their supply chain capabilities. In short, they are working to leverage Internet of Things (IoT) to improve supply chain management.
The Panama Canal is quite the engineering feat, described by some as the eighth wonder of the world. It is especially interesting to those in supply chain and logistics, as it is a critical resource in support of today’s vast international trade. It is also a complex operation subject to high levels of traffic with […]
Price optimization could be a powerful tool for demand shaping. It could be used in Integrated Business Planning to help balance supply and demand. It’s rarely used this way. Why?