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.
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 it's 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.
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...
From BizCommunity: The technologies defining the 'Fourth Industrial Revolution', more commonly referred to as Industry 4.0, are being powered by cloud infrastructures. The Oracle Cloud: Opening up the Road to Industry 4.0 report has found that from robotics to artificial intelligence, businesses view the cloud as a blank canvas upon which to build their innovation strategies.
[Industry 4.0: Cloud driving the rise of machines] The research investigated how companies in EMEA are managing the transition to Industry 4.0 and sheds light on which technologies they are investing in to continue succeeding in the data-driven age.
The majority of businesses are currently implementing, or plan to implement new innovation strategies:
• 62% have or plan to implement robotics technology
• 60% have or plan to work with artificial Intelligence
Most companies also recognise a cloud infrastructure is required to bring these technologies to life – 60% believe an enterprise cloud platform provides the opportunity for organisations to capitalise on innovation such as robotics and artificial intelligence. Cont'd...
TX2 robots: redefining performance by offering collaborative safety and high performance in a single machine. These pioneering robots can be used in all areas, including sensitive and restrictive environments, thanks to their unique features. Safety functions are easy and inexpensive to implement. They allow a higher level of interactions between robots and human operators, while still guaranteeing protection of your people, production and investment.