Analytics, optimization, and monitoring applied to actual lines across Availability, Performance, and Quality. With the numbers attached.
FIG 01 / Manufacturing
01 /AvailabilityManufacturing
A maintenance prioritization system that used simulation to rank interventions by workshop-level capacity impact and quantify annual value.
Metrics
Stack
Scenario Simulation · Capacity Optimization · Load Balancing · Python/Pandas
FIG 02 / Supply Chain
02 /PerformanceSupply Chain
A constraint optimization framework for production and resource planning, designed to resolve conflicts across maintenance, production, and quality activities.
Metrics
Stack
Mathematical Optimization · Mixed-Integer Programming · Constraint Satisfaction · Capacity Planning
FIG 03 / Manufacturing
03 /QualityManufacturing
An automated quality data review platform that clustered sensor traces and surfaced outliers so engineers could focus on abnormal patterns first.
Metrics
Stack
Unsupervised Learning · Time-Series Analysis · Clustering (DBSCAN/KMeans) · Autoencoders
FIG 04 / Manufacturing
04 /AvailabilityManufacturing
A monitoring suite that consolidated sensor, alarm, and production data into dashboards for daily manufacturing performance reviews.
Metrics
Stack
Real-time Dashboards · Sensor Analytics · ETL Pipelines · Root Cause Analysis
FIG 05 / Semiconductor
05 /QualitySemiconductor
A production-aligned evaluation framework that scored defect classifiers by operational risk instead of only standard ML metrics.
Metrics
Stack
Computer Vision · Cost-Sensitive Learning · Model Evaluation · Operational Risk
Project fit
Start with the loss on the floor, your existing data, and the value question leadership needs answered.
Pilots from €45K. 90-day OEE proof. No long discovery.