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Reducing unplanned downtime: method and tools to reduce unplanned downtime

Reducing unplanned downtime: method and tools to reduce unplanned downtime

by Agathe Lecomte | May 19, 2026 | Industrial maintenance

Reducing unplanned downtime: method and tools Unplanned downtime is typically the leading source of OEE loss in manufacturing operations worldwide. Unexpected machine breakdowns, raw material shortages, blocking quality issues, tooling unavailability: these events...
TeepTrak vs Tulip Interfaces 2027: OEE specialist vs low-code apps platform — comparison & coexistence

TeepTrak vs Tulip Interfaces 2027: OEE specialist vs low-code apps platform — comparison & coexistence

by Agathe Lecomte | May 19, 2026 | Market Trends

TL;DR · TeepTrak vs Tulip Interfaces in 60 words Different architectural philosophies. TeepTrak Pulse = OEE specialist with edge sensor (TeepTrak Box), plug-and-play 8-12 weeks, ready-to-use OEE measurement. Tulip Interfaces = low-code apps platform, build custom...
TeepTrak vs Plex Smart Manufacturing 2027: OEE specialist vs cloud MES — when to use each

TeepTrak vs Plex Smart Manufacturing 2027: OEE specialist vs cloud MES — when to use each

by Agathe Lecomte | May 19, 2026 | Market Trends

TL;DR · TeepTrak vs Plex Smart Manufacturing in 60 words Different scopes. TeepTrak Pulse = OEE specialist (ISA-95 L3 focused on Production Execution Management → OEE measurement), 8-12 week deployment. Plex Smart Manufacturing Platform = full cloud-native MES...
TeepTrak vs MachineMetrics 2027: OEE platforms comparison — features, pricing, deployment, ROI

TeepTrak vs MachineMetrics 2027: OEE platforms comparison — features, pricing, deployment, ROI

by Agathe Lecomte | May 19, 2026 | Market Trends

TL;DR · TeepTrak vs MachineMetrics in 60 words TeepTrak Pulse and MachineMetrics are OEE specialists at ISA-95 L3. TeepTrak: French origin, 450+ plants, 30 countries, multi-language (7+), plug-and-play 8-12 weeks, multi-industry. MachineMetrics: US origin,...
TeepTrak vs Litmus Edge 2027: OEE specialist vs edge analytics platform — when to use each

TeepTrak vs Litmus Edge 2027: OEE specialist vs edge analytics platform — when to use each

by Agathe Lecomte | May 19, 2026 | Market Trends

TL;DR · TeepTrak vs Litmus Edge in 60 words Different scopes. TeepTrak Pulse = OEE specialist with edge sensor (TeepTrak Box), out-of-box OEE measurement 8-12 weeks. Litmus Edge (Litmus Automation, US) = edge analytics platform for data normalization + edge ML +...
TeepTrak vs Evocon 2027: OEE platforms head-to-head — features, pricing, deployment, target market

TeepTrak vs Evocon 2027: OEE platforms head-to-head — features, pricing, deployment, target market

by Agathe Lecomte | May 19, 2026 | Market Trends

TL;DR · TeepTrak vs Evocon in 60 words Two European OEE specialists with different target markets. TeepTrak Pulse: French origin (Paris), 450+ plants, 30 countries, enterprise multi-site (Hutchinson 40 sites, Bel Group 11), 7+ languages, edge sensor TeepTrak Box....
Predictive maintenance vibration monitoring 2027: ISO 10816, FFT, ML algorithms, RUL prediction

Predictive maintenance vibration monitoring 2027: ISO 10816, FFT, ML algorithms, RUL prediction

by Agathe Lecomte | May 19, 2026 | Industrial maintenance

TL;DR · Predictive maintenance vibration monitoring in 60 words Vibration monitoring is the foundation of predictive maintenance for rotating equipment. ISO 10816 / ISO 20816 defines vibration severity thresholds. Analysis: FFT spectrum, envelope analysis (bearings),...
Data lake manufacturing 2027: Snowflake, Databricks, AWS Lake Formation, Microsoft Fabric — comparison guide

Data lake manufacturing 2027: Snowflake, Databricks, AWS Lake Formation, Microsoft Fabric — comparison guide

by Agathe Lecomte | May 19, 2026 | Digitization & Industrie 4.0

TL;DR · Data lake manufacturing 2027 in 60 words Manufacturing data lakes consolidate ERP, MES, Historian, OEE, quality, supply chain data for analytics + AI/ML. Major platforms 2027: Snowflake (cloud-agnostic SQL), Databricks Lakehouse (Spark + ML), AWS Lake...
AI/ML defect detection computer vision 2027: CNNs, transformers, foundation models, deployment

AI/ML defect detection computer vision 2027: CNNs, transformers, foundation models, deployment

by Agathe Lecomte | May 19, 2026 | Digitization & Industrie 4.0

TL;DR · AI/ML defect detection computer vision in 60 words AI/ML defect detection uses deep learning to identify product defects automatically: CNNs (ResNet, EfficientNet, YOLO), Vision Transformers (ViT, Swin), foundation models (CLIP, SAM, GPT-4V). Industrial...
Semiconductor SPC Cp/Cpk monitoring 2027: wafer-level traceability, yield optimization, fab MES

Semiconductor SPC Cp/Cpk monitoring 2027: wafer-level traceability, yield optimization, fab MES

by Agathe Lecomte | May 18, 2026 | Process Optimization

TL;DR · Semiconductor SPC Cp/Cpk monitoring in 60 words Semiconductor manufacturing operates with Cp/Cpk targets typically >1.67 (4-sigma) for critical dimensions, >2.00 (6-sigma) for advanced nodes. SPC monitoring at wafer, lot, fab level integrated with Fault...
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