Manufacturing analytics calculate OEE and availability, flag anomalies.
Factories often have machine data spread across MES, ERP, SCADA, dashboards, equipment automation, and manual records. Teams can see that output or availability has changed but still spend hours determining why. Downtime labels may be incomplete, alerts can lack ownership, and scarce experts become the bottleneck between a signal and a corrective action.
AI Manufacturing Performance and Downtime Optimization unifies production and machine data and applies manufacturing-specific analytics to identify the causes of OEE, throughput, quality, and availability gaps. Prescriptive guidance and workflow routing deliver recommended next steps to operators, supervisors, engineers, or managers and capture the response.
Arch connects to machines and factory applications and normalizes events such as cycle times, error codes, output, downtime, quality, and state changes. The platform calculates operational KPIs and uses process knowledge to detect patterns and narrow likely causes. Dashboards and AI guidance explain the issue and recommend action. Action Manager routes alerts or SOP tasks according to module, role, and user availability. Teams perform the work and use the shared history for continuous improvement.
Vendor documentation: vendor website
Evidence level: L3 · Case-documented: how evidence levels work
Faster Downtime Response: Clear ownership and recommended action reduce time spent interpreting alerts.
Higher Equipment Effectiveness: Reliable event context reveals availability, performance, and quality losses.
Scaled Expert Knowledge: Prescriptive guidance makes specialized manufacturing insight available across shifts.
Lower Integration Disruption: Existing machines and systems remain in place while their data is connected.
Connectors collect machine and application data without wholesale system replacement.
Unified events support current availability, performance, quality, and OEE views.
Analytics narrow causes of stops, micro-stops, speed loss, and availability gaps.
Manufacturing-specific models recommend clear next steps instead of only alerts.
Workflows deliver issues and procedures to available users by role and context.
Shared metrics and guidance support improvement across lines, shifts, and factories.
Arch Systems connected new and legacy assets to global dashboards, KPIs, reports, and analytics.
A three-year ArchFX collaboration spans 12 countries, four continents and several hundred production lines.
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to Arch Systems, no RFP needed.
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