Strategic decision making for production line configuration in Digital Twin
Modular product design for a product family strategy is a dominant mass customization methodology and impacts production line configuration. Common modules shared across product families, generations even the entire product platform, have a different lifecycle, which caused ever-changing market d...
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sg-ntu-dr.10356-1607842023-03-11T18:10:22Z Strategic decision making for production line configuration in Digital Twin Kim, Yerim Moon Seung Ki School of Mechanical and Aerospace Engineering skmoon@ntu.edu.sg Engineering::Manufacturing::Product design Modular product design for a product family strategy is a dominant mass customization methodology and impacts production line configuration. Common modules shared across product families, generations even the entire product platform, have a different lifecycle, which caused ever-changing market demands. So, the modules should be differentiated and redesigned based on the product development plan and market demands. Thus, a production line must be also designed to quickly respond to product change requirements while production volume flexibility is secured. Therefore, this research presents a decision-making process to determine strategic production line configuration by integrating the concept of product development and product lifecycle. On the other hand, a framework is proposed to develop a Digital-Twins (DT) driven decision support system for the production line selection the production line configuration and the product lifecycle. DT is a promising product lifecycle management (PLM) enabler that controls, analyses, and processes all product-related data throughout the entire enterprise. To develop the decision-making process for the line configuration, a hybrid multi-attribute decision-making (MADM) method is used to evaluate and compare feasible production line configuration scenarios in terms of production efficiency, economic production, and flexibility. This research shows the effectiveness of DT-driven decision-making in the manufacturing context when adjusting the production plan according to the product lifecycle information associated with a product platform and a modularity strategy. Master of Science (Supply Chain and Logistics) 2022-08-03T02:15:24Z 2022-08-03T02:15:24Z 2022 Thesis-Master by Coursework Kim, Y. (2022). Strategic decision making for production line configuration in Digital Twin. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/160784 https://hdl.handle.net/10356/160784 en YERIM001 application/pdf Nanyang Technological University |
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Engineering::Manufacturing::Product design Kim, Yerim Strategic decision making for production line configuration in Digital Twin |
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Modular product design for a product family strategy is a dominant mass customization
methodology and impacts production line configuration. Common
modules shared across product families, generations even the entire product
platform, have a different lifecycle, which caused ever-changing market demands.
So, the modules should be differentiated and redesigned based on the product
development plan and market demands. Thus, a production line must be also
designed to quickly respond to product change requirements while production
volume flexibility is secured. Therefore, this research presents a decision-making
process to determine strategic production line configuration by integrating the
concept of product development and product lifecycle. On the other hand, a
framework is proposed to develop a Digital-Twins (DT) driven decision support
system for the production line selection the production line configuration and the
product lifecycle. DT is a promising product lifecycle management (PLM)
enabler that controls, analyses, and processes all product-related data throughout
the entire enterprise. To develop the decision-making process for the line
configuration, a hybrid multi-attribute decision-making (MADM) method is used
to evaluate and compare feasible production line configuration scenarios in terms
of production efficiency, economic production, and flexibility. This research
shows the effectiveness of DT-driven decision-making in the manufacturing
context when adjusting the production plan according to the product lifecycle
information associated with a product platform and a modularity strategy. |
author2 |
Moon Seung Ki |
author_facet |
Moon Seung Ki Kim, Yerim |
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Thesis-Master by Coursework |
author |
Kim, Yerim |
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Kim, Yerim |
title |
Strategic decision making for production line configuration in Digital Twin |
title_short |
Strategic decision making for production line configuration in Digital Twin |
title_full |
Strategic decision making for production line configuration in Digital Twin |
title_fullStr |
Strategic decision making for production line configuration in Digital Twin |
title_full_unstemmed |
Strategic decision making for production line configuration in Digital Twin |
title_sort |
strategic decision making for production line configuration in digital twin |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/160784 |
_version_ |
1761781257210953728 |