Factories running the same machines often pay more to collect, process and keep the data those machines produce each shift. This episode is for manufacturing IT, platform engineers and finance teams who need to control Azure and Microsoft Fabric costs without…
Factory AI can read ERP, MES and historian data but still does not know how a product, process and resource came together at one moment. This episode shows manufacturing data architects and plant engineers how a product-process-resource knowledge graph adds…
UNTANGLING THE PLANT FLOOR: MQTT vs OPC UA & THE TRUTH ABOUT DISCONNECTED MANUFACTURING DATAWhy are modern factories still running on manual exports and guesswork despite having ERP, MES, and Azure systems in place? This episode cuts through the technology…
A planned completion date looks reasonable until one operation runs late, a material release slips or a resource disappears, and every downstream promise moves with it. This episode shows manufacturing planners and IT/OT architects how to apply critical path…
Plants that were isolated for years are now connected, and that changes the security model. In this episode of the iFAKT series, we look at protecting manufacturing environments with Microsoft Defender for IoT: asset discovery, network monitoring and…
Most factory dashboards start at the wrong end: they show a temperature or an OEE number, but nobody can explain where the message came from or whether it can be trusted. This episode is for OT and IT architects, data engineers and manufacturing leaders…
Your ERP assigns a finish date, but the machine that must make the parts is already buried under more work than it can finish. This episode explains for manufacturing planners and IT/OT teams how finite capacity scheduling works, from bottlenecks, changeovers…
When a production line halts mid-shift, the real cost isn't just measured on a cloud billing dashboard. It manifests as physical scrap, operators standing idle at a stopped station, and networks flooded with unneeded data. Most cloud-first projects fail…
Provisioning ten IoT devices by hand is easy, but at 100,000 devices every shortcut becomes a security and support problem. This episode explains Azure Device Provisioning Service for IoT architects and manufacturing IT teams, from device identity and…
When a machine stops, the expert who knows it best is often far away, and photos, chats and phone calls leave too much to guesswork. This episode explains Dynamics 365 Remote Assist for maintenance, field service and operations teams. You learn how live…
Frontline technicians often juggle manuals, laptops and memory while doing careful physical work. In this Simply Explained episode, Mirko Peters explains how Dynamics 365 Guides used mixed reality on HoloLens, Teams and Copilot to bring instructions to the…
A single late shipment can empty a shelf and break a customer promise when every team works from its own spreadsheet. This episode explains Dynamics 365 Supply Chain Management for operations, planning and IT teams in manufacturing, retail and distribution.…
Separating Plan from Actuals in Manufacturing Data Models · Mirko Peters Discover why separating planned routing from actual execution data is critical for accurate AI diagnostics and root cause analysis in modern manufacturing plants.
Why Excel Becomes the Unofficial Manufacturing Control System · Mirko Peters Discover why manufacturing planners rely on Excel for production control, the risks of fragmented shop floor data, and how closed-loop models fix static ERP schedules.
It applies FinOps principles to industrial cloud workloads: tagging, cost allocation, forecasting and ownership, so spend can be explained per plant, line or data volume without slowing delivery. · From the episode: FinOps for Manufacturing IT
Why does manufacturing AI need a PPR knowledge graph?
They can bridge the layers but do not create meaning on their own. Azure IoT Operations and Fabric move and connect machine data, but the lack of trust in manufacturing data remains until the meaning of the data is defined by the people who run the plant. · From the episode: MQTT and OPC UA in Microsoft Manufacturing
What is the Critical Path Method in manufacturing?
The Critical Path Method identifies the chain of dependent activities that determines the earliest possible completion date. In manufacturing, the same idea applies to the operations of a production order and the machines, materials, people and quality steps they depend on. · From the episode: Why Your Critical Path Changes When Production…
What can sit on a manufacturing critical path besides machines?
Furnace slots, qualified operators, inspection queues, missing fixtures, quality releases and even the carrier cutoff at the end of the process can all become the critical dependency, depending on what currently limits the earliest shipment date. · From the episode: Why Your Critical Path Changes When Production…
Related topics in brief
Industry 4.0· Related to · Concept The networked, data-driven digitalization of industrial production, in which machines, products, software and people exchange data in real time; often called the smart factory or the fourth industrial revolution.
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