Manufacture Execution System (MES) VMTECH
MES is a foundational enabler to the Smart Manufacturing strategy, and it was probably not positioned that way in its first implementation. MES is often implemented and justified based on the benefits of eliminating paper-based processes in production. However, companies that fully embrace the MES as an enabler for more process improvement and business transformation are achieving three to ten times the initial benefit in the next three to five years.
The MES is not fully rolled out to all facilities and programs might be obvious, but there is more functionality and integration potential left on the table might be less obvious. Typical areas of process improvement post initial implementation of the MES include:
- Integration of in-process quality management processes, material review board (MRB), rework specifications, and corrective action management.
- Integration of automated factory equipment (like parts placement and inspection equipment) that collects a lot of data can be pumped into the MES
- Integration of engineering data directly from the PLM system including 3-D CAD as the basis for 3-D visuals for work instructions and integration of specification in PMI directly into the MES inspection verification requirements
- Integration of the supply chain management processes including supplier quality management.
A manufacturing execution system (MES) is an information system that connects, monitors and controls complex manufacturing systems and data flows on the factory floor. The main goal of an MES is to ensure effective execution of the manufacturing operations and improve production output.
An MES helps achieve that goal by tracking and gathering accurate, real-time data about the complete production lifecycle, beginning with order release until the product delivery stage for finished goods.
The MES collects data about product genealogy, performance, traceability, material management and work in progress (WIP) and other plant activities as they occur. This data, in turn, allows decision-makers to understand the current settings of the factory floor and better optimize the production process.