Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 51 for “"smart manufacturing"”.
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Data Filtering and Modeling for Smart Manufacturing Network
A smart manufacturing network connects machines via sensing, communication, and actuation networks. The data generated from the networks are used in data-driven modeling and decision-making to improve quality, productivity, and flexibility while reducing the cost. This dissertation focuses on …
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SUPPORTING COMPANIES IN THEIR DIGITAL TRANSITION TO SMART MANUFACTURING SYSTEMS
… it presents significant challenges for several manufacturing sectors. Luxury fashion is a key example, showing two blocking factors. First, the need to keep not only design, but also production data in-house, to protect industrial secrets, prevents the export of production or design data to …
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A management framework for smart manufacturing applications in Industry 4.0
L'abstract è presente nell'allegato / the abstract is in the attachment
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Data-efficient machine learning for decision-making in smart manufacturing
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Data-efficient machine learning for decision-making in smart manufacturing
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Predictive analytics for smart manufacturing : use and impact from a systems thinking perspective
The manufacturing industry has, recently, been facing tremendous challenges, including cost efficiency, system safety, and process automation, and manufacturing companies are required to adopt new technologies to keep themselves sustainable in the fast-changing world of technology. This research …
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A computer vision-based dimension measurement method for visual inspection system in smart manufacturing
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01
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A Knowledge Enriched Computational Model to Support Lifecycle Activities of Computational Models in Smart Manufacturing
… lifecycle activities of computational models in Smart Manufacturing (SM), a Knowledge Enriched Computational Model (KECM) is proposed in this dissertation to capture and integrate domain knowledge with standardized computational models. The KECM captures domain knowledge into information …
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Design of dynamically controlled desktop fiber accumulator with tension feedback as part of smart manufacturing educational kit
In the age of automation and computation, smart manufacturing is being adopted by manufacturing industries because its data-rich approach enables production of higher-quality goods at reduced costs. However, there is an associated learning curve for operators and manufacturing professionals to …
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Enhancing Engineering Education: Integration of the Desktop Fiber Extrusion Device (FrED) for Hands-On Learning in Smart Manufacturing.
… the Desktop Fiber Extrusion Device (FrED) into smart manufacturing education, emphasizing its transformative potential in engineering curricula. The research focuses on the development and application of educational and research-grade FrED models, designed to provide hands-on learning …
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Hybrid modeling to support the smart manufacturing: concepts, theoretic contributions and real-case applications about Hybrid and Wisdom-based Systems
L'abstract è presente nell'allegato / the abstract is in the attachment
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Advancing the Utility of Manufacturing Data for Modeling, Monitoring, and Securing Machining Processes
The growing adoption of smart manufacturing systems and its related technologies (e.g., embedded sensing, internet-of-things, cyber-physical systems, big data analytics, and cloud computing) is promising a paradigm shift in the manufacturing industry. Such systems enable extracting and exchanging …
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Design and development of desktop fiber and fabric manufacturing system for advanced materials
This thesis presents two novel desktop fiber manufacturing systems and a desktop fabric manufacturing system. The desktop fiber manufacturing system achieved two goals. The first goal was the use of the system to teach smart manufacturing fundamentals. The second goal was to develop a low-cost …
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Engineering-driven Machine Learning Methods for System Intelligence
Smart manufacturing is a revolutionary domain integrating advanced sensing technology, machine learning methods, and the industrial internet of things (IIoT). The development of sensing technology provides large amounts and various types of data (e.g., profile, image, point cloud, etc.) to describe …
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Development and Implementation of a Smart Factory for Educational Fiber Extrusion Device Production
… of FrED (Fiber Extrusion Device), an educational manufacturing system designed to bridge the gap between theoretical instruction and hands-on practice in process control, computer vision, and smart manufacturing. Building on an existing prototype, this work focused on transitioning FrED from a …
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Quantifying the impact of digitalization on manufacturing supply chain management (SCM) in a power generation company
… digitalization concepts such as Industry 4.0 or Smart Manufacturing are currently of great interest in academia and among industrial players. These concepts are expected to boost companies' manufacturing supply chain performance factors such as availability and productivity. For instance, greater …
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A Collaborative Industrial Robotic System with Machine-Learned Trajectory Planning and Control
The manufacturing industry is undergoing a paradigm shift from mass production to mass personalisation, driven by increasingly diverse customer demands. This transition necessitates the development of smart manufacturing systems capable of adapting to customised products and varying production …
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Neural Network Gaussian Process considering Input Uncertainty and Application to Composite Structures Assembly
Developing machine learning enabled smart manufacturing is promising for composite structures assembly process. It requires accurate predictive analysis on deformation of the composite structures to improve production quality and efficiency of composite structures assembly. The novel composite …
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Towards Optimal Grasping Of Unknown Objects Using Deep Reinforcement Learning
Smart manufacturing, which uses advanced technologies to optimize processes, has become increasingly popular. Improving the agility of robotic systems, including manipulation skills, is crucial in this field. Grasp synthesis, the process of developing grasping plans while manipulating objects, can …
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