Manufacturing
OEE numbers trapped in MES silos don't help the executive team make faster production decisions.
We connect your MES, ERP, historian, and quality systems so plant managers and CFOs can see throughput, downtime, and quality trends in real time, from the shop floor up.
Monitor OEE, scrap rate, and line throughput in real time, with predictive alerts before equipment failure or schedule slippage hits the P&L.
The operational reality of manufacturing
OEE calculated weekly, useless for shift decisions
A weekly OEE number tells you what happened. It does not help you fix the shift that is happening right now. Shift managers need real-time visibility, not a Monday morning report.
Unplanned downtime surfaces days later
Equipment fails, production stops, and the cost analysis arrives 3 days later in a spreadsheet. The window to prevent it or minimize impact has long closed.
Quality issues reach customers before root cause is found
Defects make it through inspection and reach customers. By the time root cause analysis is complete, the production run is over and the damage is done.
Supply chain disruptions ripple through undetected
Material shortages and supplier delays hit the production schedule before anyone in the plant has been told. Production planning runs on assumptions that are already wrong.
The KPIs we surface for manufacturers
How we help manufacturers
Real-time OEE and production dashboards
Shift-by-shift OEE, throughput, and downtime tracking by line and machine. Available on the plant floor and in the executive view.
Predictive maintenance models
Equipment failure prediction built on vibration, temperature, cycle count, and maintenance history data. Shift from reactive to condition-based maintenance.
Quality root cause analytics
Connect defect rates to specific machines, operators, shifts, materials, and conditions. Find root cause before it repeats.
Production scheduling optimization
Scheduling models that minimize changeover time, maximize throughput, and account for material availability and machine constraints.
Computer vision for defect detection
Camera-based defect detection deployed on production lines. Catch defects at the point of production, not at final inspection.
Some of the systems we connect with
These are some of the platforms we connect. We integrate with almost any system. If you run it, we can likely work with it.
Where this applies
Food manufacturer: shift-by-shift OEE live
A food processing plant calculated OEE weekly from manual line logs. Shift managers had no visibility into current performance and could not intervene on low-output shifts.
We connected the MES and historian data to a real-time dashboard. Shift managers now see OEE, throughput, and downtime codes every 15 minutes. OEE improved by 11 points in 90 days.
Discrete manufacturer: predictive maintenance on CNC fleet
A precision parts manufacturer experienced recurring unplanned downtime on its CNC machining center fleet. Each incident took 6 to 14 hours to resolve and cost an average of $28K.
We built a predictive maintenance model on spindle vibration and temperature data from 24 machines. The model now flags high-risk machines 10 to 14 days before likely failure with 84% accuracy.
Consumer goods: quality root cause by shift and material lot
A consumer goods manufacturer had a persistent defect issue affecting 3 to 5% of production. Multiple root cause investigations over 18 months produced no resolution.
We connected defect data to shift, machine, operator, and material lot records. The analysis identified a specific material supplier and two operator practices as root causes. Defect rate dropped to 0.8% within 60 days of corrective action.
Outcomes you can expect
Related Services
Frequently asked questions
Real-time visibility from shop floor to executive suite.
Book a free call and we will assess your manufacturing data maturity in 30 minutes.