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The industrial internet of things (IIoT) is a buzzword for an industrial framework that paves the way for intelligent manufacturing. These intelligent technologies are gradually replacing traditional manufacturing processes. Industrial IoT employs a network of sensors to collect data, which is then analysed using CC to improve the …
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This approach enhances the quality of products and processes and contributes to a better work environment. Implementing Lean Manufacturing requires a mindset shift throughout the organization, from top management to line operators. A commitment to operational excellence places the customer at the center of all decisions.
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With the bottom-up approach, products are created by building them up from atomic- and molecular-scale components, which provides engineers with more building options. According to NNI, advanced processes that enable bottom-up nanomanufacturing include:
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However, the manufacturing engineering is a dynamic field marked with continuous advancement in the traditional approaches and the incorporation of novel approaches for manufacturing advanced products. Not all manufacturing processes can produce a product with equal ease, quality, and economy.
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Inefficient production policies and practices have led to unprecedented wastages within various manufacturing domains. This unprecedented wastage and environmental exacerbation due to unsustainable practices have made it necessary to implement green manufacturing methods. However, the traditional methods have not …
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The raw materials and transformation requirements for the manufacturing process can be converted to a systems representation. Materials requirements specify the amount of each material needed to meet the manufacturing objective—and thereby, constrain the volume/mass and chemical compatibility of transformations in the …
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With the ongoing digitization of the manufacturing industry and the ability to bring together data from manufacturing processes and quality measurements, there is enormous potential to use machine learning and deep learning techniques for quality assurance. In this context, predictive quality enables manufacturing companies to make data-driven …
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