Essays about: "machine manufacturing industry"
Showing result 16 - 20 of 138 essays containing the words machine manufacturing industry.
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16. Predicting corporate financial distress- A deep neural network approach
University essay from Göteborgs universitet/Graduate SchoolAbstract : Background. Predicting bankruptcy is of great importance for creditors, investors and other stakeholders. Early warning signs of financial distress allow stakeholders to take action to minimize the negative consequences of a bankruptcy. READ MORE
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17. An AI approach for quality improvement in heat treatment processing
University essay from Uppsala universitet/Industriell teknikAbstract : Export of heat treated steel goods has an important impact on the Swedish economy which brings performance demands and expectations on production to keep a competitive market position. Sustainability and efficiency are two important aspects in meeting these demands. READ MORE
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18. IT security : Education, Knowledge and Awareness
University essay from Högskolan i Borås/Akademin för bibliotek, information, pedagogik och ITAbstract : IT systems that contain large volumes of information are today extremely valuable to organizations. As the IT systems grow bigger, more challenges are emerging, vulnerability increases and control decreases. READ MORE
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19. Industry 4.0 Value Creation for Automated Press Hardening Production Lines
University essay from Blekinge Tekniska Högskola/Institutionen för maskinteknikAbstract : Industry’s technologies and equipment continuously advance, and the importance of continuously being able to produce increases. Todays’s automotive industry is a competitive market where efficiency is critical to keeping market shares. However, the quality of the products can not be compromised. READ MORE
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20. Explainable Machine Learning for Lead Time Prediction : A Case Study on Explainability Methods and Benefits in the Pharmaceutical Industry
University essay from KTH/Hållbar produktionsutveckling (ML)Abstract : Artificial Intelligence (AI) has proven to be highly suitable for a wide range of problems in manufacturing environments, including the prediction of lead times. Most of these solutions are based on ”black-box” algorithms, which hinder practitioners to understand the prediction process. READ MORE