Operations are heavily siloed, and operational responses are very often manual, ad hoc, and response driven. Excel features heavily in the management of production targets, schedules, and delivery. Data is accessed and stored, but utilization is low. Operational responses are reactive and poorly integrated. Metrics and organizations are structured around silos. Operations are often not interconnected.
Goals and Objectives
Reduce variability and increase predictability to, in turn, reduce costs and optimize revenue.
Analytics, control center, IoT, mobility, cognitive/AI, robotics, data management, and cloud
Use Case Summary
To achieve data visibility, there should be a broad-based automation of equipment and processes and collaboration within the system. A critical part of succeeding is to build operational metrics, culture, and organization that is collaborative and incentivized for the outcomes of the system as a whole. Enabling platforms within this system will be an important feature.