Search for dissertations about: "machine learning in planning"
Showing result 1 - 5 of 47 swedish dissertations containing the words machine learning in planning.
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1. Towards enhanced sales and operations planning : Using machine learning for decision support in an engineer-to-order context
Abstract : All companies deal with tactical planning questions and decisions, for example balance demand and supply, to be able to create an acceptable delivery ability without too much inventory or resources/capacities. For that, some companies use Sales and Operations Planning (S&OP) as their tactical planning process. READ MORE
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2. Terrain machine learning
Abstract : The use of heavy vehicles in rough terrain is vital in the industry but has negative implications for the climate and ecosystem. In addition, the demand for improved efficiency underscores the need to enhance these vehicles' navigation capabilities. READ MORE
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3. Synergies between Policy Learning and Sampling-based Planning
Abstract : Recent advances in artificial intelligence and machine learning have significantly impacted the field of robotics and led to the interdisciplinary study of robot learning. These developments have the potential to revolutionize the automation of tasks in various industries by reducing the reliance on human workers. READ MORE
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4. Forecasting of Icing Related Wind Energy Production Losses : Probabilistic and Machine Learning Approaches
Abstract : Icing on wind turbine blades causes significant production losses for wind energy in cold climate. Next-day forecasts of these production losses are crucial for the power balance in the electrical grid and for the trading process, but they are uncertain due to lack of understanding of, and simplifications, in the modelling chain. READ MORE
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5. Robot Task Learning from Human Demonstration
Abstract : Today, most robots used in the industry are preprogrammed and require a welldefined and controlled environment. Reprogramming such robots is often a costly process requiring an expert. By enabling robots to learn tasks from human demonstration, robot installation and task reprogramming are simplified. READ MORE