How Epicor Mattec MES Works
Epicor Mattec MES collects production information from machines, operators, and connected manufacturing systems. Depending on the installed configuration, the system can capture machine status, cycle counts, production quantities, downtime events, and quality information. Dashboards and production reports help teams review current performance and investigate changes in output.
A typical workflow includes the following activities:
- Machine monitoring: Equipment signals and production events provide information about operating status and cycle activity.
- Production tracking: Actual quantities are compared with production targets, helping supervisors monitor progress against schedules.
- Downtime recording: Planned and unplanned stops are categorized to identify recurring causes and opportunities for improvement.
- Quality monitoring: Production and inspection data help teams identify rejected output and investigate quality trends.
- Performance reporting: Consolidated information supports comparisons across machines, shifts, production lines, and facilities.
These capabilities help production teams use consistent information when adjusting schedules, allocating resources, and reviewing manufacturing performance.
Key Metrics in Mattec MES
Mattec MES supports the analysis of production indicators that show how effectively equipment and manufacturing processes operate. Common measures include throughput, cycle time, downtime, scrap rate, and overall equipment effectiveness (OEE). The metrics available depend on the data captured and the system configuration.
OEE combines equipment availability, performance, and quality into one measure. It is calculated by multiplying these three percentages.
OEE = Availability × Performance × Quality
For example, assume a machine is scheduled for 8 hours, operates for 7 hours, and produces 350 units against a theoretical rate of 50 units per operating hour. If 336 units meet quality requirements, the calculation is:
Availability: 7 ÷ 8 = 87.5%
Performance: 350 ÷ (7 × 50) = 100%
Quality: 336 ÷ 350 = 96%
OEE: 87.5% × 100% × 96% = 84%
An OEE of 84% provides a baseline for evaluating equipment performance and identifying whether availability, operating speed, or product quality offers the greatest opportunity for improvement. Comparing results across periods helps managers evaluate whether process changes are delivering measurable results.
Integration with Epicor ERP and Financial Operations
Epicor ERP is an enterprise resource planning system that connects business functions such as manufacturing, inventory, purchasing, sales, and accounting. Mattec MES complements this environment by supplying production information that helps manufacturers compare planned operations with actual machine performance and output.
Integration requirements depend on the installed Epicor products and the organization's configuration. Production quantities, machine performance, and downtime records can inform planning, scheduling, inventory coordination, and cost analysis when the relevant data flows are established. Manufacturers should define which system owns each record and how production information is validated before it affects business transactions.
Epicor ERP Modules provide functional capabilities for different business processes, such as manufacturing, inventory management, and financial management. Understanding which modules are deployed helps organizations identify where Mattec MES data can support production planning and downstream reporting.
Epicor Integration Finance describes the connection between Epicor operational systems and finance processes. For manufacturers, this connection helps relate production activity to inventory valuation, work-in-process reporting, and manufacturing cost analysis. Machine downtime and lower-than-planned throughput can also inform investigations into labor utilization, production variances, and the cost of fulfilling customer orders.
When extending finance workflows around epicor, teams should map production events to relevant ERP records, establish validation rules, and confirm how transactions affect accounting reports. Matching customer payments with remittance information and resolving unapplied cash are related financial activities discussed in How Hyperbots AI Agents 10x Epicor Finance Operations and Closing Epicor Finance Gaps with Hyperbots AI Agents. These processes connect manufacturing sales activity with accurate receivables and cash reporting.
Practical Manufacturing Use Cases
Epicor Mattec MES is useful in production environments where equipment performance and consistent output are important operational priorities. Manufacturers can use machine-level information to understand capacity constraints, compare production shifts, and investigate differences between planned and actual output.
For example, a plastics manufacturer may discover that one molding machine consistently produces fewer parts per shift than comparable equipment. By reviewing cycle times, downtime events, and quality records, the production team can identify whether setup practices, material changes, maintenance schedules, or process parameters explain the difference. The findings can support more realistic production schedules and improved use of available capacity.
Production data can also help purchasing and finance teams coordinate decisions. More reliable output and capacity information supports material planning, delivery commitments, and analysis of the production costs associated with customer orders.
Implementation and Best Practices
Manufacturers can improve the usefulness of Mattec MES by establishing consistent machine definitions, production targets, downtime categories, and reporting procedures. Data collection should reflect the operational questions that supervisors and business leaders need to answer.
- Validate equipment data: Confirm that machine signals and cycle counts accurately represent production activity.
- Standardize downtime reasons: Use consistent categories so teams can compare causes across machines and shifts.
- Set meaningful targets: Establish production expectations that reflect product specifications, cycle times, and available capacity.
- Connect operational and financial reporting: Align production data with job costing, inventory records, and ERP reporting requirements.
- Review trends regularly: Compare performance over time and document the operational changes associated with improvements.
Finance teams can complement connected ERP workflows with the Hyperbots Platform, which supports company-specific ERP integrations, workflows, roles, and general ledger structures through a no-code framework. Its Process Specific Capabilities support AI automation for defined finance processes, while Ready to Deploy Capabilities provide pre-trained agents and ERP connectors for finance tasks.
Self Learning Capabilities help AI co-pilots adapt to human feedback and refine workflow decisions. A Human in the Loop approach enables finance professionals to review exceptions and participate in approval decisions. These capabilities can complement manufacturing systems by supporting connected finance operations while production teams retain clear control over shop-floor processes.
Summary
Epicor Mattec MES helps manufacturers monitor machine performance, production output, downtime, cycle times, and quality. By providing timely shop-floor information, it supports production scheduling, capacity analysis, and continuous improvement. When connected with Epicor ERP and relevant finance workflows, manufacturing execution data can also strengthen inventory coordination, cost analysis, and business reporting. Accurate machine data, consistent performance metrics, and clearly defined integration rules help organizations translate production information into practical operational and financial decisions.