How to Improve Maintenance Planning and Diagnosis with Digital Twins

Companies transforming to Product as a Service business models, or actively supporting Field Service engagements with their customers, typically have issues on finding the right information related to the products they need to support. Success begins with the creation and sustainability of individual product configurations as they change over their lifecycle. The configuration of each asset being operated at a customer site, along with critical information that relates to that specific asset, is essential for the upkeep of these assets.  Failure to maintain accurate configurations and information often results in extended downtime and service outages, because too much time is spent identifying the right people, parts, and service plans. As products’ features increase, so does the complexity of diagnosing the problem, providing a solution, and meeting customer expectations. An effective approach to the Digital Twin is key for future success in Product as a Service, and we want to show you how, with our latest release of Aras Digital Twin Core.