Wonderware Manufacturing Execution Systems Solutions provide users with an “end to end” operations platform for excellence. Using Wonderware MES Solutions, manufacturers can increase operational efficiencies, quality, compliance and performance. Productivity can be improved through faster inventory turns, reduced production lead times and swifter new product introductions for faster return on investment (ROI) and enhanced customer satisfaction. These benefits are the result of the right information, at the right time, in the right context for all executions activities pertaining to operations—from work order management, through task execution and performance monitoring, providing decision support for planning and optimizing your business.
To reach the ultimate goal of operational excellence, Wonderware provides the right steps. Wonderware MES solutions offer a comprehensive, cohesive way of adopting rigorous operations management, including people, equipment, and materials. With Wonderware Software you can incrementally adopt and execute MES, getting control of scale, scope and pace of change. Without the “big bang” of some applications, you can leverage a low risk, step by step implementations approach, with long term sustainability and low a total cost of ownership (TCO).
Wonderware MES Solutions are based on configurable software which is scalable to effectively support any size of operation, from single line or production facility up to enterprise implementations, with large or multiple plants, including those geographically distributed.
Wonderware MES solutions can be used to build application standards, allowing you to lower the cost to design, deploy, maintain and extend your MES system in multi-plant rollouts. Wonderware offers a model based real-time integration for both manual and automated processes.
Provides an operations execution platform for ensuring quality, throughput, and excellence
Full set of Manufacturing execution functionality to capture and manage operational execution, performance and inline quality on automated and manual processes