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Process Automation in Manufacturing

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.

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  • AI for Technical Documents

    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.
    3 articles

  • Machine Data & Interfaces

    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.
    5 articles

  • Production KPIs & Dashboards

    OEE, availability, shop-floor and machine data capture, energy and quality figures: which KPI needs which data source, and how to turn that into a dashboard the shop floor actually trusts. With calculators, formulas and standards references instead of benchmark marketing.
    1 article

  • Choosing Custom Software

    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.
    2 articles

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