Automated Production Lines
Turnkey Assembly · PLC/SCADA · Robotic Cells · Industry 4.0 · OEE Optimisation
Neo Materials designs and integrates complete automated production lines from concept to commissioning. Our engineering covers line balancing, cycle time analysis, robotic cell design, vision inspection, PLC programming, and SCADA integration — targeting OEE above 85% from day one of production.
Production Line Engineering: Full Capability Tour
10 engineering discipline modules from line balancing to Industry 4.0 digital twin.
Line imbalance leads to idle time loss. For a 10-station line with 5% average idle per station, production loss = 50% × 1 station equivalent — recoverable by task reassignment or parallel processing.
Collaborative robots (cobots) with force/torque sensing and ISO/TS 15066 power-and-force limiting allow direct human-robot cooperation without safety fencing, reducing cell footprint 40% vs traditional guarded cells.
= Run time / Planned time. Losses: breakdowns, changeover, scheduled stops. Target via TPM preventive maintenance schedule.
= Actual output / Theoretical max. Losses: speed reduction, minor stops. Target via cycle time analysis and line balancing.
= Good parts / Total parts. Losses: scrap, rework, startup defects. Target via SPC, vision inspection, Cpk > 1.67.
World-class ✔ — target maintained through DMAIC improvement cycles
Bore selected: Ø63 mm
Area: A = π(0.063²)/4 = 3.12 × 10⁻³ m²
Pressure: P = 6 bar = 600 kPa
Force = P × A × η = 600,000 × 0.00312 × 0.85
F_ext = 1589 N (extend)
Rod back-pressure: F_ret = 1250 N
Safety factor on clamp: 2.5×
Ref: ISO 6431, SMC CPA series
| Criterion | Value | Score |
|---|---|---|
| Severity (S) | Serious injury | S2 |
| Frequency (F) | Often (<1h) | F2 |
| Avoidance (P) | Rarely possible | P2 |
| Required PL | PLe (SIL 3) | |
NVIDIA Jetson edge AI: real-time defect classification at 120 fps. Siemens Industrial Edge for low-latency analytics (<5ms). Local inference eliminates cloud latency.
Bearing vibration FFT analysis. ML model trained on 10,000 hours of normal data. Predicts bearing failure 2 weeks in advance. Reduces unplanned downtime 70%.
Siemens Tecnomatix / Dassault 3DEXPerience digital twin. Real-time line simulation synchronised with PLC data. Simulate changeover scenarios before physical implementation.
OPC-UA for secure, platform-agnostic M2M communication. Information model maps all sensors, actuators, and process variables. Integrates Siemens, ABB, and Fanuc equipment seamlessly.
MQTT data to SAP ME, Oracle MES, or Siemens OPCENTER. Auto-generate production orders, quality records, and traceability by serial number. ISO 22400 KPI dashboards.
AWS IoT Greengrass / Azure IoT Hub integration. Long-term trend analysis across multi-site production. Real-time OEE dashboard accessible from any device worldwide.
12-station transfer line. 180 parts/hr. ABB robotic press-fit station. Cognex vision for bore gauging. OEE improved from 52% → 87% within 8 weeks.
Collaborative robot cell for lithium cell loading. Laser weld station. Helium leak test. IR thermography 100% inspection. Takt 45s, OEE 88%.
SPM multi-spindle drilling + tapping line. 400 valves/hr. 5 Sigma quality (Cpk 1.72 on thread pitch). FANUC robot deburring cell integrated.
Pick-and-place delta robots (120 picks/min). Vision-guided box orientation. Palletising robot. SCADA with live throughput tracking. 24/7 lights-out operation.
Laser cutting → CNC bending → robotic MIG welding → CMM inspection. 95% automation, 3 operators per shift (vs 12 previously). Cycle time reduced 62%.
GMP-compliant blister packaging. 100% tablet presence vision check. Serialisation (GS1 DataMatrix). OEE 91%. FDA 21 CFR Part 11 compliant SCADA audit trails.
Design Your Production Line
From a single workstation to a 20-station fully automated transfer line — Neo Materials delivers complete turnkey solutions from concept through commissioning.
Request Line Concept