High-Mix Robotics: Soldering, Dispensing, and Micro-Assembly In electronics manufacturing, high-mix, low-volume production has always challenged...
Read MoreESD-Safe Automation: What Integrators Forget Electrostatic discharge (ESD) can silently destroy microelectronic components. As robots take over h...
Read MoreHow to Avoid Creating a New Data Silo with Your UNS The irony of many Unified Namespace (UNS) projects is that they end up creating another silo...
Read MoreBridging OT and IT: Governance for Shared Data Operational Technology (OT) and Information Technology (IT) have historically worked in silos &mda...
Read MoreNaming Conventions for UNS: Keep It Human, Keep It Hierarchical A Unified Namespace is only as usable as its naming scheme. Engineers, analysts,...
Read MoreData Ownership in OT: Who Owns What, and Why It Matters As plants adopt Unified Namespace architectures, data ownership becomes a governance chal...
Read MoreDesigning a Plant-Wide Data Model That Scales A Unified Namespace (UNS) only delivers value if its underlying data model is consistent, scalable,...
Read MoreQuery Patterns for Fast Root-Cause Analysis When a production issue strikes, time is everything. Engineers need historian queries that return res...
Read MoreData Retention in Regulated Industries: How to Stay Compliant Pharma, energy, and food manufacturers face strict requirements for how long produc...
Read MoreFrom Tags to Models: Context Layers That Unlock Value Industrial data becomes exponentially more valuable when structured. Moving from raw tags t...
Read MoreChoosing a Time-Series DB for OT: Requirements That Matter Not all time-series databases are created equal. In OT environments, performance and r...
Read MoreModernizing the Historian: Compression, Context, and Contextualization The plant historian has evolved from a simple tag logger to a contextual d...
Read MoreTying OEE to Profit: A CFO-Friendly Guide For many executives, OEE feels like a technical metric with unclear financial meaning. Translating equi...
Read MoreRun Rules: What to Alert On (and What to Ignore) Not all alarms are created equal. A line that alerts too often trains operators to ignore signal...
Read MoreLoss Trees That Operators Actually Use Loss trees are visual tools that categorize productivity losses into availability, performance, and qualit...
Read MoreOEE That Drives Action: From Trend to Root Cause Overall Equipment Effectiveness (OEE) is one of the most used metrics in manufacturing — b...
Read MoreChangeover Reduction with Data: SMED Meets Analytics Single-Minute Exchange of Dies (SMED) has long been the gold standard for reducing changeove...
Read MoreIntegrating MES with ERP and LIMS: Patterns That Don’t Break MES integration with ERP and LIMS often fails due to poor data mapping or uncl...
Read MoreKPIs to Hold Your MES Vendor Accountable Choosing a MES vendor is only the beginning — ensuring performance over time requires measurable e...
Read MoreRecipe, Genealogy, and eDHR: What a Modern MES Must Do Modern Manufacturing Execution Systems (MES) have moved far beyond scheduling and reportin...
Read More