Wonderware MES/Quality software provides everything you need to marshal your equipment, your procedures and your people around a mission of maintaining and continuously improving production quality. Integrated statistical process control (SPC) ensures that your practices are bound by established rules for predictable performance.
Digitizing and automating the procedures that involve people and equipment brings the peace of mind that comes from knowing that your products have been tested to comply with customer, internal or regulatory requirements before they leave the plant.
Fueled with real-time information derived directly from your processes, Wonderware MES Quality is the foundation for your quality improvement initiatives.
What is MES/Quality Software?
Wonderware MES/Quality is the third pillar in the Wonderware Manufacturing Execution System software suite. Where MES/Performance focuses on ensuring that equipment is working to its fullest potential and MES/Operations ensures that the processes are executed effectively to specification, MES/Quality provides the quality sampling execution management and monitoring for fine tuning necessary to implement Good Manufacturing Practices to keep quality variables in check.
What Does MES/Quality Do?
Wonderware MES/Quality software helps manufacturers increase their efficiency in capturing and monitoring critical quality information on the shop floor in real time. MES/Quality is designed for inline quality operations management and quality sample plan execution, for both automated and manual data collection. Integration with plant automation systems provides quality control and SPC for fast moving goods and automated processes, enabling rapid corrective actions and complements LIMS and quality management systems with process and product quality data collection.
Use Wonderware MES/Quality software to manage shop floor quality operations and execute sample plans for both automated and manual data collection. Use its powerful SPC rules engine to empower stakeholders with the knowledge of quality trends and rule-violation notifications to effectively reduce quality losses, minimize variations and improve yields.