Tag: Manufacturing AI
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Seeing a Material Shortage Before It Stops the Line
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A material shortage is easy to explain after the line stops. The hard part is seeing it early enough to act. Demand lives in MES. On-hand, open purchase orders and lead times live in ERP. When those views stay separate, planners find the gap in a spreadsheet — or on…
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Inside the MoM-MCP Flow Engine: From Any Trigger to a Governed, Approved Action
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MoM-MCP is IACF’s bridge between AI and large language models (LLMs) and the manufacturing applications a plant already runs: MES/MoM, ERP, PLM, CRM, QMS and others. Reading data and answering questions is only half the job. Sooner or later someone asks, “Can it also do something?” Re-sequence an order, open…
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Choosing a MoM-MCP Edition: Full, Lite, or Portal
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MoM-MCP is IACF’s bridge between AI and large language models (LLMs) and the manufacturing applications a plant already runs: MES/MoM, ERP, PLM, CRM, QMS and others. One question comes up as soon as a team starts a pilot: which edition do we install where? There are three pieces that work…
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Quality Response Loop: From Defect Heat Map to Root Cause to CAPA, with a Human Sign-Off
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A defect spike is easy to see and hard to act on. The data sits in several systems. The analysis takes time, and the fix has to go through the right people before anything changes on the line. This article walks through one quality response loop, from a heat map…