Where MES fits between ERP, SCADA and industrial IoT
A practical way to separate planning, control, execution and connectivity so a factory can modernize without forcing one system to do every job.
Read the article →Practical perspectives, product demonstrations and engineering guidance across MES, industrial AI, OT systems, digital twins, computer vision and industrial IoT.
A practical way to separate planning, control, execution and connectivity so a factory can modernize without forcing one system to do every job.
Read the article →Every resource is classified by evidence level, reviewed by Delfers Product and Engineering, and linked to primary technical references where relevant.
Eight detailed patterns across sensing, digital twins, computer vision and agentic AI. Capabilities are separated from outcomes that require site evidence.
Solution brief
A cited operational-briefing pattern that connects alarms, events, asset state and human notes without inventing missing context.
Solution brief
A governed vision pattern for detecting defined safety conditions while preserving review, evidence and operating context.
Solution brief
A production-grade vision pattern combining camera engineering, edge inference, verification, evidence and line integration.
Solution brief
A governed pattern for evaluating production changes before applying them to the live process.
Solution brief
Connect production, utility and asset context so energy intensity can be interpreted alongside what the plant was actually doing.
Solution brief
A practical pattern for connecting vibration, temperature, motor-current and ultrasound signals to an owned maintenance workflow.
Solution brief
A site pattern for monitoring temperature, humidity, door state, power and equipment health across distributed storage environments.
Solution brief
A human-approved troubleshooting pattern that brings alarms, trends, asset context and procedures into one evidence-linked investigation.
Each collection brings together architecture, operating guidance and demonstrations around a practical industrial problem.
Work orders, genealogy, OEE, SPC, maintenance, scheduling and multi-plant MES.
Explore Fabrix resources → 02Industrial sensing, alarm ownership, asset models and on-site resilience.
Explore SensX resources → 03Operational context, digital twins, scenario basis and governed steering.
Explore Cortex resources → 04Camera engineering, edge inference, verification and production integration.
Explore VisionX resources → 05Cited findings, operational reasoning, human approval and agent workflows.
Explore Sentrix resources → 06Voice-first access to governed operational context, evidence and reviewed workflows.
Explore Delfi resources →Eleven new engineering articles cover MES architecture, traceability, OEE, SPC, scheduling, quality workflows, multi-plant rollout, industrial copilots and OT cybersecurity.
Engineering article
A practical way to separate planning, control, execution and connectivity so a factory can modernize without forcing one system to do every job.
Engineering article
Why a useful genealogy model is an event graph, not a report assembled after the fact, and how MES design affects containment and root-cause investigation.
Engineering article
OEE becomes useful when availability, performance and quality are connected to the reason codes, standards and production context behind the number.
Engineering article
Statistical process control detects process drift while computer vision verifies visible outcomes. Used together, they give quality teams earlier and richer evidence.
Each resource is designed to help teams make a clearer architecture, deployment or operating decision.
Engineering article
A practical way to separate planning, control, execution and connectivity so a factory can modernize without forcing one system to do every job.
Engineering article
Why a useful genealogy model is an event graph, not a report assembled after the fact, and how MES design affects containment and root-cause investigation.
Engineering article
OEE becomes useful when availability, performance and quality are connected to the reason codes, standards and production context behind the number.
Engineering article
Statistical process control detects process drift while computer vision verifies visible outcomes. Used together, they give quality teams earlier and richer evidence.
Engineering article
Cloud-native execution still needs local resilience. The architecture must preserve sequence, identity and auditability when plant connectivity is interrupted.
Engineering article
Capacity-constrained planning becomes useful when machine calendars, routing standards, changeovers and live execution state are reconciled in one schedule.
Engineering article
A defect detector becomes operationally useful when evidence, unit identity, hold logic, non-conformance and corrective action share one governed workflow.
Engineering article
Agentic AI can explain production state, summarize evidence and prepare actions, but the execution boundary should remain governed, cited and human-approved.
Engineering article
A scalable MES program needs a global execution model without erasing real differences in machines, routings, languages and operating practices at each site.
Engineering article
Voice can make plant intelligence faster to access, but the useful design problem is grounding, permissions, citations and what the copilot should refuse to do.
Engineering article
Connecting execution, edge data and AI increases value and attack surface. A defensible design uses segmentation, identity, least privilege and explicit trust boundaries.
Solution brief
A cited operational-briefing pattern that connects alarms, events, asset state and human notes without inventing missing context.
Solution brief
A governed vision pattern for detecting defined safety conditions while preserving review, evidence and operating context.
Solution brief
A production-grade vision pattern combining camera engineering, edge inference, verification, evidence and line integration.
Solution brief
A governed pattern for evaluating production changes before applying them to the live process.
Solution brief
Connect production, utility and asset context so energy intensity can be interpreted alongside what the plant was actually doing.
Solution brief
A practical pattern for connecting vibration, temperature, motor-current and ultrasound signals to an owned maintenance workflow.
Solution brief
A site pattern for monitoring temperature, humidity, door state, power and equipment health across distributed storage environments.
Solution brief
A human-approved troubleshooting pattern that brings alarms, trends, asset context and procedures into one evidence-linked investigation.
Operations perspective
An alarm should become accountable work with an owner, a clock, evidence and a clear path to closure, not another red dot on a crowded screen.
Engineering note
Reliable industrial vision depends on optics, lighting, edge compute, verification, model lifecycle and production integration working as one engineered system.
Perspective
AI becomes useful on the plant floor only when recommendations are grounded in assets, process history, operating limits and human decisions.
Architecture guide
A practical architecture for moving from plant signals to governed intelligence without bypassing industrial security, context or human control.
Practical checklist
A structured way to assess signals, context, quality, ownership, history and deployment constraints before beginning an industrial AI use case.
Product demonstration
A guided view of how Cortex connects live plant context, digital twin models and governed what-if analysis for operational teams.
Engineering note
A trustworthy digital twin should communicate the basis, range and confidence of every simulation, and refuse when no defensible basis exists.
Delfers update
A concise periodic briefing with practical industrial AI perspectives, new guides, demonstrations and product updates from the Delfers engineering teams.
Architecture
The right deployment pattern depends on latency, connectivity, data sovereignty, model lifecycle and the operational consequence of delay.
Video
A concise view of how SensX, Cortex, VisionX and Sentrix connect sensing, modelling, visual evidence and human-approved decisions.
Product demonstration
See how cameras, lighting, edge inference, verification workflows and operational integration come together on the production line.
Field guide
A practical guide to connecting OT systems, industrial data, AI and human decisions without losing the realities of the plant floor.
Product guide
A clear introduction to SensX, Cortex, VisionX and Sentrix, including where each product starts and how they work together.
Product update
Delfers adds an enterprise IoT and industrial sensing platform focused on asset intelligence, alarm ownership and honest operating states.
Try a broader topic, clear the search or talk to an engineer about the question you are exploring.
Start with the operating problem in front of you, then connect manufacturing execution, sensing, modelling, visual evidence, agentic reasoning and a voice-first copilot.
Receive a concise briefing with one engineering perspective, one practical guide or demonstration and one relevant product update.

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