What is Epicor Mattec?

Definition

Epicor Mattec is a manufacturing software solution associated with manufacturing execution system (MES) capabilities, particularly real-time machine monitoring, production tracking, and performance analysis. It helps manufacturers collect shop-floor information, monitor equipment utilization, measure production output, and identify opportunities to improve manufacturing operations.

Mattec is especially relevant to production environments where machine cycles, downtime, throughput, and quality directly influence delivery schedules and manufacturing costs. By making operational data visible to supervisors and managers, the system helps connect daily production decisions with broader objectives such as capacity planning, productivity, and profitability.

How Epicor Mattec Works

Epicor Mattec collects production information from manufacturing equipment and connected systems. Depending on the deployed configuration, this information can include machine operating status, cycle counts, production quantities, downtime events, and quality results. Dashboards and reports help teams compare actual performance with production targets and investigate variations.

Typical activities supported by a manufacturing monitoring system include:

  • Machine monitoring: Track equipment status and production activity as manufacturing cycles occur.
  • Production tracking: Compare actual output with expected quantities and scheduled production targets.
  • Downtime analysis: Record equipment stoppages and classify their causes for operational review.
  • Quality monitoring: Compare accepted output with total production to identify quality trends.
  • Performance reporting: Review equipment and production results across machines, shifts, and production lines.

These records help manufacturing teams understand where production time is being used and whether equipment is meeting expected performance levels.

Key Manufacturing Metrics

Epicor Mattec supports the collection and analysis of production indicators such as throughput, cycle time, downtime, scrap rate, and overall equipment effectiveness (OEE). These measures help manufacturers evaluate equipment performance and prioritize operational improvements.

OEE combines availability, performance, and quality into one indicator. The formula is:

OEE = Availability × Performance × Quality

Assume a machine is scheduled for 8 hours, operates for 7 hours, and produces 350 units against a theoretical production rate of 50 units per operating hour. If 336 units meet quality requirements, the results are:

Availability: 7 ÷ 8 = 87.5%

Performance: 350 ÷ (7 × 50) = 100%

Quality: 336 ÷ 350 = 96%

OEE: 87.5% × 100% × 96% = 84%

The resulting 84% OEE gives managers a baseline for comparing equipment performance over time. A lower availability result may indicate that downtime deserves attention, while a lower quality result may highlight opportunities to improve process consistency. Combining these measures with production costs helps managers connect shop-floor performance with financial outcomes.

Relationship with Epicor ERP

Epicor ERP is an enterprise resource planning system that connects manufacturing with business processes such as inventory management, purchasing, order processing, and accounting. Mattec's manufacturing monitoring capabilities complement ERP workflows by providing operational information about machine activity and production output.

For example, production monitoring data can help planners understand actual capacity before scheduling new work. When the appropriate integration is configured, production information can also support inventory coordination, job tracking, and manufacturing cost analysis.

Epicor ERP Modules provide capabilities for different business functions, including manufacturing, inventory, and financial management. Understanding which modules an organization uses helps teams determine how shop-floor information should connect with production planning and business reporting.

Epicor Integration Finance describes the connection between Epicor systems and finance workflows. For manufacturers, this relationship can help connect operational activity with inventory valuation, work-in-process reporting, job costing, and financial records. The accounting impact depends on transaction configuration and the organization's costing and posting rules.

When extending finance workflows around epicor, organizations should establish clear data ownership, integration requirements, and transaction validation rules. Related accounts receivable processes include matching customer payments to remittance advice, identifying unapplied cash, and posting receipts. These workflows are explored in How Hyperbots AI Agents 10x Epicor Finance Operations and Closing Epicor Finance Gaps with Hyperbots AI Agents, which discuss extending Epicor finance operations through AI-supported workflows.

Practical Applications in Manufacturing

Epicor Mattec can support manufacturers that depend on consistent equipment performance and reliable production schedules. Machine-level reporting helps supervisors compare shifts, identify recurring stoppages, review output variations, and make informed decisions about capacity utilization.

For example, a manufacturer operating several injection-molding machines may discover that one machine consistently produces fewer acceptable parts per shift than similar equipment. Reviewing cycle times, downtime records, and rejected quantities can help the team identify whether maintenance, setup practices, or process parameters need adjustment. Improving output consistency can support delivery commitments and reduce the cost associated with lost production time.

Production monitoring can also improve coordination between manufacturing and purchasing. More accurate capacity and output information helps planners estimate material requirements, coordinate replenishment, and align supplier deliveries with production schedules.

Implementation and Best Practices

Effective use of Epicor Mattec starts with clear production objectives and consistent equipment data. Manufacturers should establish standard definitions for machine status, downtime categories, cycle times, production targets, and quality results before comparing performance across production lines.

  • Validate machine signals: Confirm that recorded cycles and equipment states represent actual production activity.
  • Standardize downtime categories: Apply consistent reason codes to support meaningful comparisons.
  • Set realistic targets: Align production expectations with machine capabilities, product specifications, and scheduled operating time.
  • Review performance trends: Compare output, OEE, and quality across shifts and reporting periods.
  • Connect business records: Align operational data with ERP reporting and relevant manufacturing cost information.

For connected finance processes, the Hyperbots Platform supports company-specific configurations for ERP integration, workflows, user roles, and general ledger structures through a no-code framework. Its Process Specific Capabilities support AI automation for defined finance workflows, 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 workflows. These capabilities can complement manufacturing systems by connecting operational activity with finance processes while maintaining appropriate human oversight.

Summary

Epicor Mattec is associated with manufacturing monitoring and execution capabilities that help businesses track machine activity, production output, downtime, and quality. Its operational data supports equipment utilization analysis, production planning, and continuous improvement. When aligned with Epicor ERP and finance workflows, this information can also strengthen inventory coordination, manufacturing cost analysis, and business reporting. Consistent data collection and clearly defined performance measures help manufacturers turn shop-floor information into practical operational and financial decisions.