Titlebook: Handbook of Smart Materials, Technologies, and Devices; Applications of Indu Chaudhery Mustansar Hussain,Paolo Di Sia Living reference work

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OHS-Related Risks in an Industry 4.0 Manufacturing Plant,ns but for about the same purpose: improve productivity and flexibility, as part of ongoing attempts to produce goods within high quality and diversity requirements, while being the most efficient. The changeover toward the industry 4.0 era is not risk-free. Safety, which is a big priority for manuf

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Metal Additive Manufacturing Technology Applications in Defense Organizations,eeded within industry and defense organizations, due to its capability of rapid, delocalized, and flexible manufacturing. The awareness of additive manufacturing and its potential impact on the organization’s efficiency and effectiveness is on a rise within the defense organizations. It is therefore

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Product Lifecycle Management (PLM): A Key Enabler in Implementation of Industry 4.0,ntion of Industry 4.0, representing the smart era. Internet of things, cyber-physical systems, artificial intelligence, machine learning, big data analytics, simulation, robotics, augmented reality, virtual reality, horizontal and vertical integrations, and other related technologies can act as core

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Machine Learning Enhanced Decision-Making,sights or findings. This chapter describes what machine learning is and how it works. It then provides an example of real-world application of machine learning to address industry problem. The chapter concludes by discussing important considerations when using machine learning methods to ensure that