Gartner’s 2026 MES Critical Capabilities refresh adds formal AI-orchestration and composability scoring — but the Leaders quadrant reflects Gartner’s use-case weighting, not yours. Here’s a worksheet approach to re-score it against your own plant’s maturity.
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Genealogy and OEE don’t fail because of bad software — they fail because the PLC and SCADA tags never captured the attributes ISA-95 assumes exist. Here’s the object model, worked through a single production order.
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CISA’s secure-by-design push is turning SBOMs from a software-supply-chain talking point into an actual procurement requirement for ICS/OT gear. Most plant teams aren’t ready to ask for one, let alone use it.
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Generative AI copilots are showing up inside MES and EBR authoring tools, promising faster work instructions and batch records. Here’s what’s actually ready for a regulated shop floor, what isn’t, and the sign-off workflow that keeps QA on your side.
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As cobots move from standalone cells into fully integrated packaging and assembly lines, their vendor-specific state models don’t map cleanly onto PackML — and plants that fudge the translation end up with SCADA and MES data that lies about downtime, changeovers, and true equipment state.
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Paperless work instructions let engineers push revisions faster than most plants can control them. Here’s how to build a version-tagged, canary-tested, one-click rollback workflow before a bad change costs you a shift.
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For shops planning a 2026 MES replatform off Wonderware-era or homegrown stacks, the real decision hinges less on feature checklists and more on how much of your existing tag structure and licensing model survives the move.
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Most “digital twins” on the plant floor are read-only 3D dashboards fed by historian tags, not systems that write back to scheduling or maintenance. Here’s a practitioner framework for the three maturity tiers and what it actually takes to close the loop.
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Rockwell continues folding Plex into its FactoryTalk MES lineup rather than choosing one platform, leaving mid-market buyers to sort out a real decision tree before their next contract cycle.
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Choosing between batch-level and serialized unit-level genealogy isn’t a data modeling detail — it’s a bet on your regulatory exposure and recall costs that’s brutally expensive to unwind later.
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