Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/160784
Title: Strategic decision making for production line configuration in Digital Twin
Authors: Kim, Yerim
Keywords: Engineering::Manufacturing::Product design
Issue Date: 2022
Publisher: Nanyang Technological University
Source: 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
Project: YERIM001 
Abstract: 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.
URI: https://hdl.handle.net/10356/160784
Schools: School of Mechanical and Aerospace Engineering 
Fulltext Permission: embargo_restricted_20240804
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

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