Deep technical content for engineers and technicians ready to move beyond the basics. Studio 5000 · MES · OEE · EtherNet/IP · Industry 4.0 — from the factory floor, built to empower the next wave of manufacturing.
Each project is engineered around a real industrial problem — no theory for theory's sake.
Production-grade ladder logic, structured text, FBD, and Logix Designer best practices that scale across facilities.
RSLogix · FactoryTalk · IgnitionScalable methodologies for production monitoring and efficiency improvement — without expensive enterprise software.
OEE · Lean · MES IntegrationEtherNet/IP architecture, IO-Link sensor networks, device configuration, and industrial cybersecurity fundamentals.
EtherNet/IP · IO-Link · PROFINETPractical IIoT architectures, data historians, and ML-assisted fault detection for the real factory floor.
IIoT · MQTT · Edge ComputingDiagnostic frameworks, fault trees, and systematic debugging for Rockwell Automation and multi-vendor environments.
Rockwell · Siemens · B&REvery methodology published as open-source templates — empowering small manufacturers and startups everywhere.
GitHub · MIT License · ScalableThe gap between enterprise automation software and what a startup can actually afford is enormous. Most early-stage manufacturers can't justify six-figure MES licenses or dedicated automation integrators — so they run blind.
My work closes that gap by developing and open-sourcing scalable programming methodologies that give small manufacturers the same visibility and efficiency tools that large OEMs take for granted.
“Clean, standardized code isn't just good engineering practice — it's an economic multiplier for every shop floor it touches. When a three-person operation can deploy a real production monitoring system from a GitHub repo, that's manufacturing equity.”
Over the longer term, this work extends toward ML-assisted fault detection, intelligent industrial networking, advanced traceability systems, and scalable data architectures.
Real automation engineering projects — each with a full video walkthrough, open-source code, and documented implementation benefits.
Visualize how a photoelectric sensor at the start of the belt counts boxes in real time. Set a target, hit Start, and watch the PLC logic in action.
Articles on industrial automation, engineering education, and accessible STEM resources for the next generation of control systems professionals.
The growing adoption of simulation technologies is creating new opportunities for students, technicians, and engineers to develop industrial automation skills in accessible and low-risk environments.
By enabling users to design, validate, and troubleshoot PLC ladder logic before working with physical equipment, these platforms help bridge the gap between theoretical knowledge and real-world industrial applications.
What role do you think simulation technologies will play in preparing the next generation of industrial automation professionals?
One concept that often gets overlooked in industrial automation training is the importance of truth tables. Whether working with relay logic, hardwired control systems, or PLC programming, understanding how inputs affect outputs through AND, OR, and NOT logic is fundamental to designing reliable control systems.
Strong foundations in Boolean logic help engineers and technicians troubleshoot faster, validate designs more effectively, and reduce commissioning errors.
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OEE tracking, production monitoring, and alarm management frameworks published as Studio 5000 templates — free and documented for any manufacturer to deploy.
Lightweight MES connectivity patterns for EtherNet/IP environments — enabling startups to connect production data to dashboards without enterprise software licensing.
Machine learning applied to real production historian data for predictive maintenance and anomaly detection — with edge deployment strategies for existing Rockwell infrastructure.
End-to-end traceability systems for automotive and advanced manufacturing — supporting IATF 16949 compliance without purpose-built traceability suites.
Every methodology lives on GitHub — clone it, adapt it, ship it. No licensing. No enterprise contracts.
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