MES (Manufacturing Execution System) production data refers to the information collected and generated by the MES system during the execution of manufacturing operations on the shop floor. This data captures various aspects of the production process, providing insights into the performance, efficiency, and quality of production activities. Here are some examples of MES production data:

Machine Data:

Machine status: Information about the operating status of machines, including uptime, downtime, availability, and utilization.

Machine parameters: Data related to machine settings, configurations, speeds, feeds, and other relevant parameters.

Production counts: Counts or quantities of produced parts, units, or batches from each machine.

Machine alarms: Notifications and alerts generated by machines for issues such as faults, errors, or maintenance requirements.

Work Order Data:

Work order details: Information about each work order, including work order numbers, quantities, due dates, and priorities.

Work order status: Updates on the progress, completion, and status of work orders.

Routing and operations: Details of the steps or operations involved in executing work orders, including their sequence, duration, and resource requirements.

Quality Data:

Quality measurements: Data related to quality control and inspections, such as dimensions, tolerances, weights, or other quality parameters.

Defects and rejections: Information on defects, scrap, rework, or rejected items identified during production.

Statistical process control (SPC): Data from SPC charts or analysis, including control limits, process capability, and trends.

Inventory Data:

Material consumption: Quantities of raw materials or components consumed during production.

Material usage variance: Variance between planned and actual material usage.

Inventory levels: Information about the levels of raw materials, work-in-progress (WIP), and finished goods.

Performance Data:

Cycle times: Time taken to complete a specific operation, process, or work order.

Overall equipment effectiveness (OEE): Metrics measuring the efficiency and productivity of machines, including availability, performance, and quality factors.

Downtime analysis: Data on machine downtime, reasons for downtime, and the impact on production.

Traceability Data:

Genealogy and traceability: Information about the history, origin, and movement of products, materials, and components throughout the production process.

Serialization data: Unique identifiers, serial numbers, or codes assigned to individual products or batches.

Reporting and Analytics:

Reports and dashboards: Summarized information and visual representations of production data for performance monitoring, analysis, and decision-making.

Key performance indicators (KPIs): Metrics and indicators that measure and track the performance and efficiency of production operations.

MES production data is crucial for monitoring, controlling, analyzing, and optimizing the manufacturing process. It helps in identifying bottlenecks, improving productivity, ensuring quality control, and making data-driven decisions for continuous improvement in the production environment.