A tire group · Tire Manufacturing
Connected MES and Process Traceability for Tire Curing-Press Fleets
To address data silos across curing presses, process gaps during communication interruptions, and barcode-traceability challenges, the project implemented connected equipment MES, post-outage data backfill, links between process curves and product identities, forward and backward traceability, and enterprise-system interfaces, while establishing a replication path for the group's other sites.
Typical challenges
- The curing-press fleet needed to be connected through unified state and process-data models while preserving adaptation differences among equipment interfaces and tag lists.
- Process curves not buffered and backfilled during communication interruptions create discontinuities in product process evidence.
- Product barcodes, machines, tooling, process curves, and execution results needed bidirectional query links rather than machine-by-machine historical searches.
- Group-wide replication required consistent enterprise interfaces and data definitions while respecting differences in equipment, networks, and business configuration at each site.
Implemented scope
Connected MES for Curing-Press Fleets
Connected equipment and implemented production execution management in the designated curing area, bringing machine states, process execution, product identities, and execution records into one business chain.
Offline Buffering and Post-Recovery Backfill
Included automatic backfill of process curves from communication-outage periods after recovery in the technical agreement and acceptance scope, using buffering, sequencing, and retransmission mechanisms to handle disconnected-period data.
Forward and Backward Process Traceability
Linked barcodes, machines, tooling, and process curves by product key, supporting product-to-process review and reverse identification of related products by machine or process condition.
Enterprise-System Interfaces
Connected enterprise-side master data or business information with shop-floor execution records according to confirmed system boundaries, supported by interface documentation and exception-handling mechanisms.
Multi-Site Replication
Extended validated data models, equipment connectivity, and traceability methods to the group's other sites, with local adaptation and acceptance for each replication.
Expected operational outcomes
- ✓ Curing processes moved from isolated machine-level viewing to unified fleet-level execution and process monitoring.
- ✓ The post-recovery process-data backfill mechanism improved process-curve continuity and made communication interruptions easier to identify and handle.
- ✓ Product identities and process evidence were linked bidirectionally, so traceability no longer relied solely on manually piecing together individual-machine records.
- ✓ Unified interfaces and templates provided a reusable implementation foundation for group-wide multi-site coordination.
Scope and disclosure boundaries
- • This case uses only the approved public alias and does not disclose the client's name, site names, logo, site photographs, interface screenshots, or identifiable process information.
- • Public scope covers connected equipment MES in the designated curing area, post-outage backfill, forward and backward traceability, enterprise interfaces, and multi-site replication. It is not expanded to imply coverage of all group businesses or plants.
- • No scale or technical figures are disclosed for machine counts, acquisition-point counts, sampling intervals, or data-retention periods, nor are traceability durations, scrap, recalls, or financial benefits disclosed.
- • The feasible scope of post-outage backfill depends on equipment and edge-buffering conditions. Backfill capability, data-gap flagging, and recovery acceptance for new projects must be validated device by device.
Conditions for replication
- • Inventory equipment families, controllers, tag lists, process curves, sampling, and buffering capabilities, with particular attention to whether equipment retains historical data during network outages.
- • Select representative machines to test normal acquisition, disconnection, recovery, retransmission, deduplication, clock drift, and buffer overflow, and document handling rules for gaps that cannot be filled.
- • First connect work orders, machines, tooling, barcodes, and curves in one area, using two acceptance exercises: forward tracing from a product and backward scoping from an abnormal condition.
- • Document enterprise-interface objects, systems of record, retry after failure, and reconciliation rules. Revalidate equipment versions, network zoning, and local master data when replicating to other sites.
