Essays about: "Data Driven Manufacturing"
Showing result 1 - 5 of 88 essays containing the words Data Driven Manufacturing.
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1. Mobile Device Industry in China : A study on Chinese mobile device industry from an ecosystem point of view
University essay from Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknikAbstract : Under the global trend of digital transformation development, Chinese mobile device industry has rapid expansion and yield significant economic benefits and social impacts both domestically and internationally. This growth is driven by the advancement of 5G technology, which has revolutionized various aspects of the industry, including manufacturing, products, and consumer demand. READ MORE
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2. Inventory management of redundant components in a highly automated environment - A case study at a manufacturing company
University essay from Göteborgs universitet/Graduate SchoolAbstract : SKF is a leading manufacturer of bearings, seals, lubrication systems, and condition monitoring systems. Since its beginning in 1907, the company has grown steadily, and now it serves clients in over 130 countries worldwide. READ MORE
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3. Extraction of Global Features for enhancing Machine Learning Performance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. READ MORE
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4. A Digitised AI and Simulation Ecosystem for Enabling Data-driven Decisions
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : As data availability increases so do the opportunities within businesses. Companies need to explore technologies that are able to exploit and capitalise on this vast amount of data in order to stay relevant in today’s competitive market. READ MORE
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5. Dynamic Modeling of Heat Power System : Modeling of a Heat Power System Using Physical and Data-driven Methods and Investigation of a Moving Boundary Method
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Our society is becoming more and more electrified every day. However, a significant portion of the world’s electricity generation relies on the combustion of fossil fuels to produce heat, which is subsequently harnessed to generate electricity. One way of generating electricity from heat is by utilizing a Rankine cycle. READ MORE