Increasingly complex supply chain models, rising costs, consumer expectations and sustainability. These are just some of the challenges that supply chain leaders across the globe are facing at the dawn of the next decade, and issues that are explored in Datalogic's "Supply Chain Modernisation white paper".
End-to-end automation of the supply chain is a big task. Many organisations have started the process by removing paper-based processes from their logistics operations; implementing mobile computers or scanners to aid applications such as good in, goods out and picking. However, evolving customer demands, reduced delivery timeframes and more complex sales channels are pushing these existing solutions to the limit. From the production line, to the warehouse and ultimately into the hands of the customer, companies need to find new ways to increase the speed at which they produce and move goods through the supply chain, while maintaining accuracy, quality and traceability. Automated data capture and machine vision technologies are critically important to achieving these goals. This white paper explores some of the applications and where they can be deployed.