Digital Twin in MES: A 2026 Reference Architecture
A 2026 reference architecture for a digital twin in MES: ISA-95 integration, the real-time data layer, synchronization patterns, and shop-floor use cases.
MTConnect vs OPC UA for Machine Tool Data (2026)
MTConnect vs OPC UA for machine tool and CNC data in 2026: data models, semantics, agents, write-back, and a decision matrix for shop-floor connectivity.
Samsung’s All-AI Factories by 2030: An Analysis
Samsung's pledge to run all-AI factories by 2030, analyzed: digital twins, AI agents for quality and logistics, and what escaping pilot purgatory really takes.
Catena-X Automotive Data Space: Reference Architecture
A 2026 reference architecture for the Catena-X automotive data space: Eclipse Dataspace Connector, data sovereignty, the digital thread, and use cases.
Pharma Manufacturing Digital Twin: Reference Architecture
A vendor-neutral 2026 reference architecture for a pharma manufacturing digital twin: PAT data, GMP validation, batch genealogy, and the closed control loop.
Battery Gigafactory Digital Twin Reference Architecture
A vendor-neutral 2026 reference architecture for a battery gigafactory digital twin: electrode, cell, and pack telemetry, yield modeling, and the closed control loop.
Green Hydrogen Digital Twin Reference Architecture (2026)
A vendor-neutral 2026 reference architecture for green-hydrogen digital twins: electrolyzer telemetry, AI simulation, and the GHaaS optimization loop.
Industrial Metaverse Reference Architecture (2026)
A vendor-neutral 2026 reference architecture for the industrial metaverse: OpenUSD, Omniverse, real-time digital twin data, and the simulation-to-operations loop.
Asset Administration Shell Tutorial with Eclipse BaSyx
A hands-on 2026 Asset Administration Shell tutorial using Eclipse BaSyx — submodels, the digital nameplate, REST API, and connecting an AAS to a digital twin.
Lights-Out Factories in 2026: What the Data Shows
A 2026 analysis of lights-out, autonomous factories — what edge AI and digital twins actually deliver, where the hype breaks, and the realistic adoption curve.