Invensys Introduces Quality Management Software

Wonderware MES 2012 with Quality increases efficiency, compliance.

Invensys Operations Management Wonderware.MES

Invensys Operations Management, a provider of technology systems, software solutions and consulting services to the manufacturing and infrastructure operations industries, has released an updated version of its Wonderware MES software. The newest version expands existing operations and performance management functionality by adding quality management for sample data collection, statistical process control and quality results monitoring, helping to improve operational efficiency, regulatory compliance and product safety.

Wonderware MES Software 2012 with Quality captures complete product, equipment and process-related quality data for both automated and manual operations. The software monitors quality data in near real time so plant operators can respond faster to non-conformance conditions, quality trends and deviations, as well as to take corrective actions that minimize variations and bring quality closer to specifications. It complements existing enterprise quality management systems with sample plan execution automation, higher accuracy in shop-floor quality sample data, integrated statistical process control (SPC) and enhanced work order and operational execution context.

“Our Wonderware MES 2012 with Quality software integrates manufacturing operations and quality operations in production and addresses a key challenge in synchronizing production schedules and the required quality procedures,” said Rob McGreevy, vice president of platform and operations software at Invensys Operations Management. “Enhancements to the software reduce distracting and difficult-to-manage operator tasks, as well as secure compliance and product safety in ever-changing environments. Integrating systems, data and processes enables better operations management and increases value within manufacturing. We’ve enhanced our MES software because users demand improved operational efficiency and reduced complexity, which allows them to better manage all their operational activities and improve their overall business performance.”