Five integrated capabilities that connect raw process telemetry to the decisions your line supervisors need to make before each shift.
YAMASTRO does not replace your MES. It adds the intelligence layer that transforms raw process data into maintenance decisions, defect investigations, and shift-ready dashboards.
Sensor data from CNC machines, PLCs, and SCADA systems. Process logs from existing MES and ERP. Operator shift notes via mobile interface.
YAMASTRO's AI layer ingests multi-source time-series data, detects drift from process baselines, correlates anomalies across equipment groups, and ranks failure-probability by asset within a 15-minute window.
Prioritized maintenance alert queue pushed to line supervisors. Updated OEE dashboard in MES. Automated root-cause report draft ready for morning stand-up review.
Monitors 200+ per-asset process parameters simultaneously against dynamic baselines that adapt to shift patterns and batch conditions. When a machine's thermal signature, vibration profile, or cycle-time variance diverges from the expected envelope, the system flags the anomaly and assigns a failure-probability score within 8 minutes of first detection. Line supervisors receive a push notification on their mobile device before the first scrap part is produced.
Traces each recorded defect or non-conformance back through the process history to identify the upstream equipment state, operator action, or material batch variation most statistically correlated with the outcome. The engine ranks causes by confidence and generates a structured 5-Why seed that maintenance engineers can review and confirm rather than build from scratch, cutting investigation time from days to hours.
Combines real-time equipment health scores with historical failure data to generate dynamic maintenance schedules that reflect actual asset condition rather than manufacturer calendar intervals. Work orders are written directly into your existing CMMS or maintenance queue. For a 20-machine cell, plants typically defer 30-40% of premature calendar-based maintenance tasks while eliminating the reactive repairs.
Aggregates OEE components, open alerts, predicted risk assets, and recent defect clusters into a shift-start dashboard designed for a 60-second scan. Color-coded risk heat maps show which assets need attention before production starts. Supervisors can acknowledge alerts, assign tasks to maintenance technicians, and log notes from the same interface without switching between systems.
YAMASTRO does not require replacing your MES investment. All AI-generated work orders, root-cause summaries, and updated OEE figures are written back to your existing MES platform via certified connectors for Siemens, Rockwell, and Aveva environments. The AI layer operates as an intelligence overlay, leaving your existing data architecture intact.
We run paid pilots with mid-market discrete manufacturers operating Siemens, Rockwell, or Aveva environments. Response within two business days.