Data connectivity and collection has evolved past the workarounds and silos that long-plagued industrial ecosystems. New technology is transforming data accessibility-without interrupting your vital processes or requiring new equipment.
Many companies are striving to create real business value from their various streams of information, a serious data-driven approach. Measurement, monitoring and access to real-time data are extremely important to reaping the benefits of Industry 4.0
By tapping into existing maintenance or equipment logs, a manufacturer can apply machine learning to predict which connected devices or machines will be in need of servicing or forecast required inventory levels across warehouse locations...
Big data and automation represent two very important tools that should help us create a brand-new type of manufacturing that doesn't require as much constant human attention and effort. It should, at the same time, vastly improve the safety and accuracy ...
In a recent PWC survey on Industry 4.0,which involved over 2,000 participants from nine major industrial sectors, data analytics emerged as one of the biggest challenges in the transformation from analog to digital operations on the production floor and beyond.
The consolidated view of the data dramatically simplifies comparisons across factories. With that it is much easier to identify inefficiencies (e.g. product not passing QA, volume of left over scrap) and differences in output.
In the current climate of industrial trucking products, truck manufacturing companies are striving to improve their products in more efficient ways than ever.
John Hitch for Industry Week: IBM's Watson IoT sees all and might even know it all. In a new simulation, you can feel what it likes to have it working for you.
What happens when a command from the controller arrives at the robot arm a tenth of a second late? Or what happens if sensor data never actually reaches the controller?
The world of industry has been steadily advancing since the beginning of the Industrial Revolution, and this new move toward data-driven manufacturing strategy is simply the next step in revolutionizing the industry.
By embracing the cloud, manufacturers no longer simply collect data but instead, gain actionable insights from it. Whether its for quality improvement, sales forecasts or preventative maintenance, predictive analytics or machine learning can give manufacturers an edge over their competitors and possibly, a complete new service to sell.
IoTium's Managed Service Offering Transforms Mission Critical Industrial Environments to Accelerate the Mass Deployment of Industry 4.0 at Scale
Andrew Kusiak for nature: Manufacturing is getting smart. Companies are increasingly using sensors and wireless technologies to capture data at all stages of a product's life.
Alun Williams for ElectronicsWeekly: he top strategic objectives in the manufacturing industry have remained consistent for years, with many centered on serving customers. Industrial companies want to deliver customers high quality products, on time, at a globally competitive cost. They also want to be able to flex production capabilities up and down as needed to quickly introduce new products to the marketplace. Pairing physical assets with intelligent gateways to gather, analyze and communicate data is driving enormous new efficiencies in manufacturing and business operations. New operational efficiencies enabled by IoT are generating significant returns in manufacturing. Cont'd...
Louis ColumbusÂ for CloudTech: Â Having attained initial results from Industry 4.0 initiatives, many manufacturers are moving forward with the advanced analytics and Big Data-related projects that are based on real-time integration between CRM, ERP, 3rd party and legacy systems. A recentÂ Price Waterhouse Coopers (PwC)Â study of Industry 4.0 adoption,Â Industry 4.0: Building The Digital EnterpriseÂ (PDF, no opt-in, 36 pp.) found that 72% of manufacturing enterprises predict their use of data analytics will substantially improve customer relationships and customer intelligence along the product life cycle. Real-time integration enables manufacturers to more effectively serve their customers, communicate with suppliers, and manage distribution channels. Of the many innovative start-ups taking on the complex challenges of integrating cloud and on-premise systems to streamline revenue-generating business processes,Â enosiXÂ shows potential to bridge legacy ERP and cloud-based CRM systems quickly and deliver results. There are many more potential benefits to adopting Industry 4.0 for those enterprises who choose to create and continually strengthen real-time integration links across the global operations. Â Cont'd...
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Zaber's X-LRQ-DE Series of linear stages have high stiffness, load, and lifetime capabilities in a compact size. The integrated linear encoder combined with stage calibration provides high accuracy positioning over the full travel of the device. At 36 mm high, these stages are excellent for applications where a low profile is required. The X-LRQ-DE's innovative design allows speeds up to 205 mm/s and loads up to 100 kg. Like all Zaber products, the X-LRQ-DE Series is designed for easy set-up and operation.