CSV and 21 CFR Part 11 for Automation Engineers

CSV and 21 CFR Part 11 for Automation Engineers Computer System Validation (CSV) is at the core of pharmaceutical and biotech automation. For eng...

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OEE in Gigafactories: Where the Losses Hide

OEE in Gigafactories: Where the Losses Hide As gigafactories ramp up, Overall Equipment Effectiveness (OEE) becomes the ultimate efficiency bench...

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Quality Control for EV Batteries: From Vision to X-Ray

Quality Control for EV Batteries: From Vision to X-Ray Quality control in battery manufacturing has evolved from simple dimensional checks to mul...

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Robots in Battery Assembly: Safety and Part Handling

Robots in Battery Assembly: Safety and Part Handling Battery assembly combines high weight, electrical energy, and chemical sensitivity — a...

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Automating Electrode Coating and Dry Rooms: What’s Special

Automating Electrode Coating and Dry Rooms: What’s Special Battery electrode manufacturing is one of the most technically demanding automat...

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Traceability for Cells and Packs: Data from Day One

Traceability for Cells and Packs: Data from Day One Battery manufacturers must meet growing regulatory and customer demands for full traceability...

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In-Line Test Automation: ICT, AOI, and End-of-Line

In-Line Test Automation: ICT, AOI, and End-of-Line Testing is the final gate before shipment — and the most data-rich step in electronics m...

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How EMS Providers Automate Without Killing Flexibility

How EMS Providers Automate Without Killing Flexibility Electronic Manufacturing Services (EMS) companies thrive on high product variability. But...

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Robots for Tiny Tolerances: Vision and Force Strategies

Robots for Tiny Tolerances: Vision and Force Strategies Electronic assemblies often demand sub-100-micron accuracy. Achieving this repeatably req...

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ESD-Safe Automation: What Integrators Forget

ESD-Safe Automation: What Integrators Forget Electrostatic discharge (ESD) can silently destroy microelectronic components. As robots take over h...

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High-Mix Robotics: Soldering, Dispensing, and Micro-Assembly

High-Mix Robotics: Soldering, Dispensing, and Micro-Assembly In electronics manufacturing, high-mix, low-volume production has always challenged...

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How to Avoid Creating a New Data Silo with Your UNS

How 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...

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Bridging OT and IT: Governance for Shared Data

Bridging OT and IT: Governance for Shared Data Operational Technology (OT) and Information Technology (IT) have historically worked in silos &mda...

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Naming Conventions for UNS: Keep It Human, Keep It Hierarchical

Naming Conventions for UNS: Keep It Human, Keep It Hierarchical A Unified Namespace is only as usable as its naming scheme. Engineers, analysts,...

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Data Ownership in OT: Who Owns What, and Why It Matters

Data Ownership in OT: Who Owns What, and Why It Matters As plants adopt Unified Namespace architectures, data ownership becomes a governance chal...

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Designing a Plant-Wide Data Model That Scales

Designing a Plant-Wide Data Model That Scales A Unified Namespace (UNS) only delivers value if its underlying data model is consistent, scalable,...

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Query Patterns for Fast Root-Cause Analysis

Query Patterns for Fast Root-Cause Analysis When a production issue strikes, time is everything. Engineers need historian queries that return res...

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Data Retention in Regulated Industries: How to Stay Compliant

Data Retention in Regulated Industries: How to Stay Compliant Pharma, energy, and food manufacturers face strict requirements for how long produc...

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From Tags to Models: Context Layers That Unlock Value

From Tags to Models: Context Layers That Unlock Value Industrial data becomes exponentially more valuable when structured. Moving from raw tags t...

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Choosing a Time-Series DB for OT: Requirements That Matter

Choosing a Time-Series DB for OT: Requirements That Matter Not all time-series databases are created equal. In OT environments, performance and r...

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