Manufacturers are under pressure to do more with less: less time, less energy, less waste, and fewer people on the shop floor. Connected manufacturing is about linking machines, people, systems, and data so they work as one, instead of as separate islands. When production lines, warehouses, quality, maintenance, and supply chain all share real-time information, […]
Understanding connected manufacturing Read More »
Industrial sites are busy, messy places. You’ve got more connected machines than ever, strict safety rules, and fewer people covering larger areas. Data pours in from sensors, PLCs, SCADA, and maintenance systems—but it’s scattered. When something goes wrong, it can take too long to spot and even longer to fix. Walk-throughs and manual checks still
A modern approach to industrial monitoring Read More »
In manufacturing, the most expensive problems are the ones you don’t see coming. A bearing runs hot, a cutter drifts out of spec, a camera misses a subtle defect—minutes later you’re fighting scrap, rework, and downtime. That’s why leaders are moving from reactive alerts to real‑time anomaly detection: continuously analyzing sensor, machine, and process data
Real-time Anomaly Detection in Manufacturing Read More »
Manufacturing has become more complex in recent years. Customer expectations are growing, supply chains are harder to manage, and products are becoming more advanced. For OEMs (Original Equipment Manufacturers), this means dealing with a wide range of challenges — from production efficiency to parts availability and service coordination. One approach that’s starting to make a
How 3D Digital Twins solve OEM manufacturing challenges Read More »
In today’s connected world, remote monitoring has become essential for businesses that want to keep an eye on their systems, assets, and operations from anywhere. Whether it’s industrial equipment, healthcare tools, or IT systems, remote monitoring gives teams the real-time data and visibility they need to improve performance, cut downtime, and keep everything running smoothly.
What Is Remote Monitoring? A guide for enterprises Read More »
Manage daily production operations with facts. *figures obtained with a similar solution implemented in other industrial companies
Konecranes Smart Factory Read More »
Manufacturing today is more complex than ever. With production lines running at full speed, machine sensors constantly collecting data and global supply chains in motion, factories generate an enormous amount of real-time information every second. But collecting data isn’t the same as using it effectively — the real challenge is turning raw numbers into insights
Industrial data analytics for data driven manufacturing Read More »
Improving health, safety, and environmental performance is key to keeping people safe, staying compliant with regulations, and creating a workplace that values safety and responsibility. It helps prevent accidents, protects the environment, and keeps everything running smoothly. Plus, it saves money in the long run by avoiding costs from incidents and boosts the company’s reputation
How to improve HSE performance? Read More »
In today’s rapidly evolving manufacturing world, predictive maintenance has become an essential strategy for boosting productivity and cutting costs. While traditional preventive maintenance remains important, it can lead to inefficiencies or unplanned downtime. By leveraging modern technologies like the Internet of Things (IoT), 3D Digital Twin, and AI, predictive maintenance enhances preventive efforts, allowing manufacturers
Predictive maintenance in manufacturing: IoT, AI & 3D Digital Twin Read More »
In today’s fast-paced world of Artificial Intelligence and other big leaps in robotics and automation, Digital Twins have quickly gained popularity among manufacturers. For those in charge of manufacturing plants that produce more data every millisecond than that of any other industry, it is crucial to access the most relevant information to make swift decisions
The practical guide to implementing Digital Twin Read More »
