Essays about: "operational improvement"
Showing result 1 - 5 of 160 essays containing the words operational improvement.
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1. From Disruption to Efficiency: The role of SRM and JIT strategies in Automotive Supply Chains Authors: Jennie
University essay from Göteborgs universitet/Företagsekonomiska institutionenAbstract : Purpose - The incessantly progressing automotive industry faces various challenges due to its complex supply chains. This study aims therefore to 1) explore the roots of material supply disruptions in the automotive industry and the challenges of managing these and 2) assess the role of Supplier Relationship Management (SRM) in mitigating these disruptions. READ MORE
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2. Improvement of anautomatic networkdrawing algorithm in thecontext of utility networks
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The European Union’s ambitious climate targets necessitate substantial reductions in greenhouse gas emissions, particularly within the heating and cooling sector, which accounts for a significant portion of energy consumption. District Heating and Cooling (DHC) systems emerge as a key solution for decarbonizing this sector by enabling high efficiency heat production and the integration of renewable and carbon-neutral energy sources. READ MORE
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3. Design of cooling-air permeable coil support
University essay from KTH/HållfasthetsläraAbstract : Coil supports are integral load-bearing components employed in generators andmotors. They serve the purpose of preventing excessive deformation and maintaininga stable position of the coils responsible for generating power and magnetic fieldswhen rotating. READ MORE
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4. Using Social Media and Personality Predictions to Anticipate Startup Success
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. READ MORE
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5. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. READ MORE