Production KPIs & Dashboards

How to make manuals, datasheets, maintenance reports and standards machine-readable with AI – from PDF and OCR quality through RAG architecture and source attribution to on-premise operation. Technical depth instead of product promises, with an honest account of the limits.

OPC UA, MQTT, S7, MES, ERP and historians: how to get data out of legacy and new machines and into systems you can actually analyse. With decision matrices, fault diagnosis and reference architectures for brownfield plants.

The smallest sensible first step instead of a digitalisation vision: replacing Excel, digital shift handover, paperless production, goods receipt and document processing. Every article names the data source, the target system and the exceptions that make projects fail.

Before the project comes the decision: off-the-shelf or custom, requirement specifications, realistic cost structures for industrial projects and typical use cases in production and maintenance. Decision material that also says when off-the-shelf software wins.