Design change propagation to support assembly systems in digital twins

In recent years mass customization has become popular with a large number of products. This increases volatility in product design, which amplifies the complexity of production as well. One of the areas which are most directly affected by design changes is assembly lines. Industry 4.0 enables...

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Main Author: Vogt, Maximilian Gordian
Other Authors: Moon Seung Ki
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/155727
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1557272023-03-11T18:09:05Z Design change propagation to support assembly systems in digital twins Vogt, Maximilian Gordian Moon Seung Ki School of Mechanical and Aerospace Engineering Hewlett-Packard Singapore Centre for 3D Printing skmoon@ntu.edu.sg Engineering::Manufacturing::Flexible manufacturing systems In recent years mass customization has become popular with a large number of products. This increases volatility in product design, which amplifies the complexity of production as well. One of the areas which are most directly affected by design changes is assembly lines. Industry 4.0 enables manufacturers to tackle these challenges with technical innovations such as the Digital Twin. Used as a virtual model of a physical system it can support engineers to estimate the impact of changing production environments and decision making. This dissertation provides a framework that connects product design and an assembly system in preparation for the implementation into Digital Twins. A literature review on product architecture, Design for Manufacturing and Assembly, and production is performed. Assessment models for each of these topics are analyzed and compared. Due to the inaccuracy of existing models in low volume productions, an adjustable manual assembly time estimation method with a broader range of factors is developed. The proposed estimation method is then integrated into the framework to gauge the impact of design changes on assembly lines. This framework consists of assembly time estimation, line rebalancing, and reconfiguration as well as assembly sequence adjustment. Finally, the proposed framework has proven to work when applied to a case study in the production machine manufacturing industry. To increase usability for engineers, the proposed framework has to be integrated into a Digital Twin. This would also simplify the integration of design change propagation in other areas such as supply chain and manufacturing. Through refinement during the application in other industries, the range of the proposed framework could be improved. Master of Science (Supply Chain and Logistics) 2022-03-15T01:45:36Z 2022-03-15T01:45:36Z 2021 Thesis-Master by Coursework Vogt, M. G. (2021). Design change propagation to support assembly systems in digital twins. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/155727 https://hdl.handle.net/10356/155727 en 04OGS000028N035EOM01 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Manufacturing::Flexible manufacturing systems
spellingShingle Engineering::Manufacturing::Flexible manufacturing systems
Vogt, Maximilian Gordian
Design change propagation to support assembly systems in digital twins
description In recent years mass customization has become popular with a large number of products. This increases volatility in product design, which amplifies the complexity of production as well. One of the areas which are most directly affected by design changes is assembly lines. Industry 4.0 enables manufacturers to tackle these challenges with technical innovations such as the Digital Twin. Used as a virtual model of a physical system it can support engineers to estimate the impact of changing production environments and decision making. This dissertation provides a framework that connects product design and an assembly system in preparation for the implementation into Digital Twins. A literature review on product architecture, Design for Manufacturing and Assembly, and production is performed. Assessment models for each of these topics are analyzed and compared. Due to the inaccuracy of existing models in low volume productions, an adjustable manual assembly time estimation method with a broader range of factors is developed. The proposed estimation method is then integrated into the framework to gauge the impact of design changes on assembly lines. This framework consists of assembly time estimation, line rebalancing, and reconfiguration as well as assembly sequence adjustment. Finally, the proposed framework has proven to work when applied to a case study in the production machine manufacturing industry. To increase usability for engineers, the proposed framework has to be integrated into a Digital Twin. This would also simplify the integration of design change propagation in other areas such as supply chain and manufacturing. Through refinement during the application in other industries, the range of the proposed framework could be improved.
author2 Moon Seung Ki
author_facet Moon Seung Ki
Vogt, Maximilian Gordian
format Thesis-Master by Coursework
author Vogt, Maximilian Gordian
author_sort Vogt, Maximilian Gordian
title Design change propagation to support assembly systems in digital twins
title_short Design change propagation to support assembly systems in digital twins
title_full Design change propagation to support assembly systems in digital twins
title_fullStr Design change propagation to support assembly systems in digital twins
title_full_unstemmed Design change propagation to support assembly systems in digital twins
title_sort design change propagation to support assembly systems in digital twins
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/155727
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