The SMS Manufacturing Execution System (MES) traces metals production and turns execution data into real-time decisions to optimize OEE and quality. SMS MES integrates interactive user guidance into execution workflows: it confirms correct material identity/grade, drives standardized routing and parameter windows, and prompts next actions based on current equipment/production state. It records guided instructions and decisions with audit-ready traceability, linking “what happened” to “why” using live process context across casting, rolling, finishing, and downstream steps. The SMS Manufacturing Execution System improves Overall Equipment Effectiveness (OEE) by reducing unplanned downtime, minimizing micro-stoppages linked to process deviations, and lowering rework/scrap from quality deviations — so availability, performance, and quality all move together. The result is evidence-based exception handling, faster containment and root-cause actions, and measurable gains in throughput and first-pass yield.

Customer challenges addressed

  • Complete data consistency and full transparency
  • Active user guidance for exception handling
  • Comprehensive material genealogy
  • Better available-to-promise (ATP) performance
  • Reduced stock levels and faster order processing
  • Improved OEE figures on performance and yield

Key features

Order Management

An MES integrated with ERP delivers order management for operations by translating ERP order intent into executable shop-floor identities and traceable execution and then synchronizing real-time status and transactions back to ERP. The SMS Manufacturing Execution System supports regular customer supply orders, stock orders, consignment orders and loan production orders. The SMS MES becomes the execution-side “source of operational truth” for ERP by delivering order status, executed quantities, quality/disposition outcomes, and traceability evidence for customer supply, stock, consignment, and loan orders—improving data integrity, reducing manual work, and accelerating correct inventory and delivery processing.

Material Management

The SMS MES governs material quality execution and maintains end-to-end genealogy, so every product identity is tied to its exact origin, processing history, and test outcomes. It strengthens quality assurance by capturing quality evidence in context, enforcing quality gates (hold/release) based on defined acceptance rules, and recording nonconformities with traceable evidence so that dispositions such as scrap, rework, or downgrade are linked to the correct identity and route. It maintains material genealogy as a digital thread from heat/cast to coil/sheet through any rework loops and routing changes, enabling investigations and audits to reconstruct what material was made, how it was made, and under which processing conditions.

Production Execution

The SMS Manufacturing Execution System uses job lists and job orders as the main reference for execution, receiving them from the planning system, validating them for grade/spec mapping, sequencing, and resource constraints, and integrating with Level 1 (L1) and Level 2 (L2) automation to align shop-floor instructions. MES enables re-planning as production advances, adjusting for exceptions (unplanned downtime, quality holds, delays, or off-spec materials) by revising plans, re-sequencing steps, reprioritizing orders, and syncing updates back to planning, keeping execution controlled and traceable.

Plant Management

SMS Manufacturing Execution System gives plant management proactive control by consistently tracking downtime, changeover, speed losses, and quality interruptions for each production order, grade, material, and equipment. For OEE evaluation, SMS Manufacturing Execution System measures Availability, Performance, and Quality using real-time automation and production data. It analyzes OEE losses by linking them to specific causes, allowing management to investigate issues and take corrective action with full traceability. Overall, SMS Manufacturing Execution System enhances plant management with reliable dashboards, reason-coded insights, and efficient exception handling, enabling faster and more measurable OEE improvement.

Delay Management

SMS Manufacturing Execution System manages delays by capturing production progress and stoppage events in real time, attaching them to orders, materials, and equipment, and applying consistent reason codes for interruptions. It provides immediate visibility into delay locations and causes, links delay records to upstream conditions, and enables controlled exception workflows for recovery actions such as re-planning and re-sequencing. Synchronization with planning systems ensures updated status and priorities are communicated quickly. Overall, SMS Manufacturing Execution System reduces lost time by making delays measurable, attributable, and actionable, improving responsiveness, accountability, throughput, and OEE.

Auxiliary Equipment Management

SMS Manufacturing Execution System delivers auxiliary equipment management by treating assets like ladles, work rolls, or tundishes as execution-critical, with controlled identity, lifecycle tracking, and process readiness tied to production runs. It ensures each item is traceable to the heat/cast and product identity it served, tracks asset wear and usage history for controlled replacement, and synchronizes readiness signals from automation and manual confirmations. By governing auxiliary equipment as part of the production chain, SMS Manufacturing Execution System improves product consistency and reduces unplanned stoppages.

Master Data Management

SMS Manufacturing Execution System ensures master data management by providing a controlled, reliable reference for critical shop-floor information such as grades/specs, routing, equipment, identity structures, and recipe definitions. It standardizes and governs master data for execution, enforces correct mappings across materials, orders, and assets, and supports versioned, auditable changes. At runtime, it validates data to prevent errors and ensures shop-floor, automation, and quality records align with master data, reducing reconciliation efforts for reporting and traceability.