Search for dissertations about: "Production and Automation Engineering"
Showing result 6 - 10 of 214 swedish dissertations containing the words Production and Automation Engineering.
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6. Towards an integrated framework for modeling, control, and validation of production systems
Abstract : To prepare a production system before installation includes a multitude of computer assisted tasks. Virtual preparation, including many simulation supported activities, has made great strides during the last decade. Industrial robots are routinely programmed offline in simulation environments. READ MORE
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7. Energy Performance and Manoeuvring Modelling of Inland Waterway Vessels
Abstract : Inland waterway transport has significant potential to reduce greenhouse emissions and road congestion safely and sustainably. To construct competitive, intelligent waterborne transport networks, the use of advanced vessels with clean energy and a high degree of automation or autonomy is an ideal solution for next-generation transport. READ MORE
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8. Levels of Automation in Production Systems
Abstract : Although automation is often seen as an efficient way to achieve cost-efficient production and to relieve humans from heavy or dangerous tasks, it also has its drawbacks. Earlier research has shown that increasing levels of automation in unforeseen production situations can be related to production disturbances. READ MORE
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9. On Safe Collaborative Assembly With Large Industrial Robots
Abstract : This thesis pertains to industrial safety in relation to human-robot collaboration. The aim is to enhance understanding of the nature of systems where large industrial robots collaborate with humans to complete assembly tasks. This understanding may support development and safe operations of future collaborative systems. READ MORE
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10. On Reinforcement Learning and Digital Twins for Intelligent Automation
Abstract : Current trends, such as the fourth industrial revolution and sustainable manufacturing, enable and necessitate manufacturing automation to become more intelligent to meet ever new design requirements in terms of flexibility, speed, quality, and cost. Two distinct research streams towards intelligent manufacturing exist in the scientific literature: the model-based digital twin approach and the data-driven learning approach. READ MORE