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Translate production requirements into executable manufacturing plans.
Translate production requirements into executable manufacturing plans.
Allocate machines, resources and production capacity against demand.
Execute machining and production operations according to defined processes.
Track production progress, machine conditions, process performance and output.
Identify bottlenecks, inefficiencies and process deviations and support better decisions.
Connect production activity, materials, machines, processes and outputs for end-to-end traceability.
Use historical and real-time manufacturing data to improve future production performance.
Bring real-time production data, machine performance, process trends and operational insights together to give manufacturing teams a clearer view of what is happening across the shop floor. Cerexio PrecisionOne uses manufacturing analytics and AI-driven insights to highlight production risks, emerging bottlenecks and performance changes.
Plan and schedule production orders and track status in one dashboard with optimised machine, people and technology allocation. Capitalise on the capacity visibility with optimal schedule adherence and smarter bottleneck identification in a single effort.
Cerexio PrecisionOne optimises machine utilisation by tracking cycle, set-up, and changeover time to reduce idle time and downtime and, consequently, monitor and improve OEE, machine utilisation, throughput and manufacturing efficiency using real-time data powered by integration and IoT.
Investigate process parameters, variability, and capabilities, and analyse cycle time and operational shortcomings to explore trends in your production processes. With AI-powered trend analysis and predictive AI models, you can ensure peak process performance.
When a quality or production issue appears, teams need to know which material, machine, process and production order were involved. Cerexio PrecisionOne’s track-and-trace features connect those records so teams can investigate production history without reconstructing it manually.
Improve process and product consistency by understanding defect trends, quality parameters, First-pass yield (FPY), rework, and scrap values to easily gain insights into process quality. With closed-loop quality feedback enabled by the system, you can harness the best process capability.
Cerexio PrecisionOne is an AI-powered manufacturing intelligence platform designed for precision engineering manufacturers. It connects production control, CNC machining operations, manufacturing traceability, process optimisation, and production analytics in a unified environment. By bringing production and operational data together, Cerexio PrecisionOne helps manufacturers improve machining efficiency, quality consistency, production performance, and data-driven decision-making.
Cerexio PrecisionOne improves production control by providing greater visibility into production planning, production scheduling, work orders, machine utilisation, production progress and operational performance. Manufacturers can monitor production progress against planned requirements, identify potential constraints, and use manufacturing data to support faster production decisions.
Yes. Cerexio PrecisionOne can support CNC machining optimisation by analysing production information such as cycle times, setup times, machine utilisation, downtime, throughput and process performance. These insights can help precision engineering manufacturers identify production inefficiencies, machining bottlenecks and opportunities to improve CNC machine utilisation and machining efficiency.
Cerexio PrecisionOne supports manufacturing traceability by connecting production information across production orders, machines, processes, materials and production history. This helps manufacturers establish stronger production, part, batch, lot, and process traceability, making it easier to investigate production issues and understand the history of manufactured products.
Cerexio PrecisionOne uses production analytics and manufacturing intelligence to identify where production capacity is lost through machine downtime, idle time, extended setup times, process delays, and production bottlenecks. By analysing production performance and historical patterns, teams can identify recurring constraints and take action to improve machine availability, throughput and overall production efficiency.
Yes. ForgeOne can support machining quality and process consistency by connecting production and process information to help teams identify quality deviations, recurring production patterns, process variability, defects, scrap, and rework. This gives precision engineering manufacturers greater visibility into the relationship between process performance and product quality, supporting continuous process improvement.
Cerexio PrecisionOne can analyse relevant manufacturing and production data, including production orders, machine performance, machine utilisation, cycle times, setup times, downtime, production output, throughput, process data, quality information, production history and operational performance. Where integrated data sources are available, this information can be used for manufacturing analytics, trend analysis, predictive insights and process optimisation.
AI can analyse historical and current manufacturing data to identify patterns, anomalies, process deviations and potential production risks. In Cerexio PrecisionOne, AI-driven predictive insights, process optimisation analysis, and AI-assisted decision support help manufacturers understand how production processes are performing and identify opportunities to improve process efficiency, machining performance, and operational outcomes.
Cerexio PrecisionOne turns manufacturing data into production intelligence that can help managers and manufacturing teams understand what is happening across production operations. Production dashboards, manufacturing analytics, trend analysis, predictive insights, and AI-assisted decision support help teams identify bottlenecks, monitor production performance, investigate recurring issues, and make more informed decisions about capacity, scheduling, machining efficiency, and process optimisation.
Precision engineering manufacturers operate with demanding requirements for machining accuracy, process consistency, production efficiency, traceability and operational control. An AI-powered manufacturing intelligence platform such as Cerexio PrecisionOne can connect production data and process information to help manufacturers improve production control, CNC machining efficiency, manufacturing traceability, process optimisation, quality consistency and operational performance. Rather than relying only on historical reports or manual production monitoring, teams can use connected manufacturing data and AI-driven insights to support continuous improvement and data-driven manufacturing decisions.