![]() This study was centered on application of intelligent manufacturing in industrial productivity and cost/time wastage. Intelligent manufacturing (IM) involves the use of sophisticated and advanced analytics, sensor application in robotics and internet based connections to things popularly known as IoT. Intelligence manufacturing has led to enhance productivity in manufacturing sector in recent time on account of 4 th industrial revolution. ![]() Which is termed intelligence manufacturing or production. The innovation comes in the form of smart technique of production for an enhanced productivity. ![]() In contemporary time, the production arena has become an interesting scene with introduction of innovations that is changing the climate of production technology. The framework is developed based on the analysis of the available literature and informed with direct experience in implementing Industry 4.0 technologies in practice. The present study proposes a conceptual framework for real-time data analytics for Industry 4.0. The discovery of hidden information in the raw data is enabled by the real-time predictive data analytics on the basis of which the real-time decision making models are applied in the production system. The predictive production systems are new type of intelligent production systems that enable the implementation of new technologies for discovering hidden information in the raw production data, this way enabling prediction and prevention of errors that could occur in production. However, one of the major obstacles is how to transform reactive, via proactive, to predictive production systems. Companies rightfully have high expectations of Industry 4.0. Internet of Things, Cyber-Physical Systems, Cloud Computing, Big Data and Artificial Intelligence). You will learn how leveraging your 3D models can provide big paybacks.The Industry 4.0 is moving the production towards smart production systems, based on new technologies (i.e. If you are responsible for optimizing your manufacturing processes, this eBook is for you. Solutionįor a manufacturer to succeed in the global marketplace, it needs to use IT innovations such as XVL to develop optimized processes and implement these processes as standards throughout the organization. Moreover, it is almost impossible to send 3D data to places with poor network connectivity. For instance, even today is it is difficult to display the full 3D model of a single vehicle on a PC. However, there is a problem – the large size of 3D CAD data has made it very difficult to use outside the design environment. This means that IT can accelerate global optimizations. ![]() Such communication goes both ways – 3D models give remote production teams the ability to provide clear feedback to the design departments, enabling manufacturers to enhance quality in upstream processes. Using 3D models to communicate ideas reduces the need for text translations and fosters understanding across languages and cultures. 3D models can help overcome these barriers. This often results in language or cultural barriers. The globalization of manufacturing has accelerated collaboration between countries and regions with different languages and cultures. Free eBook: Using 3D Data to Improve Manufacturing Processes The global manufacturing sector is evolving rapidly.
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