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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/109862


    題名: 運用數位孿生優化水冷機櫃生產空間布局;Leveraging Digital Twin to Optimize Factory Layout in Cooling Rack Production
    作者: 王映淳;WANG, YING-CHUN
    貢獻者: 工業管理研究所在職專班
    關鍵詞: 水冷散熱機櫃;系統化佈置規劃 (SLP);離散事件模擬 (DES);FlexSim;Liquid-Cooled Rack;Systematic Layout Planning (SLP);Discrete Event Simulation (DES);FlexSim
    日期: 2026-07-24
    上傳時間: 2026-10-20 14:39:25 (UTC+8)
    出版者: 國立中央大學
    摘要: 近年來,隨著人工智慧與高效能運算需求快速成長,GPU 功耗持續攀升,所產生之熱負載亦大幅增加,進而帶動市場對散熱解決方案之需求。由於傳統氣冷散熱技術已逐漸接近物理極限,液冷散熱系統遂成為新世代資料中心的重要基礎設施。然而,水冷散熱機櫃具備高重量、大體積與測試時間長等產品特性,在台灣廠房空間普遍受限之情況下,產線配置常需採取 S 型或 U 型動線規劃,容易造成搬運次數增加、物流距離延長等問題,進而影響整體生產效率。因此,如何透過有效之廠區配置規劃降低物流浪費並提升生產效能,已成為製造管理之課題。此外,傳統廠區規劃多仰賴工程經驗與靜態分析,難以完整評估不同配置方案於實際生產情境下之動態變化與資源利用情形,增加企業於產線建置或搬遷時之決策風險。因此,本次結合靜態布局理論與動態模擬技術,以提升規劃效率及降低試錯成本。
    本研究以國內某電源管理與散熱解決方案的企業為個案研究對象,聚焦於水冷散熱機櫃生產流程,雙階段整合架構探討布局優化的可能性。首先運用系統化佈置規劃(SLP)針對主要作業區域進行產品-產量分析、流程程序圖及活動關係矩陣分析,以釐清各作業區之物流強度與空間需求。其次,結合數位孿生概念與離散事件模擬(DES)工具 FlexSim,建構產線虛擬模型,確認不同配置方案之運作績效。研究結果可作為大型機櫃產線配置規劃的參考依據,協助企業運用數位模擬與分析,作為投資決策的依據。;In recent years, the rapid growth of artificial intelligence (AI) and high-performance computing (HPC) has significantly increased GPU power consumption and thermal loads, driving the demand for advanced cooling technologies. As conventional air-cooling approaches are reaching their physical limits, liquid cooling has become a key solution for next-generation data centers. However, liquid-cooled racks are characterized by their heavy weight, large size, and long testing time. Coupled with the limited factory space in Taiwan, these characteristics often lead to inefficient production layouts, increased material handling, and longer transportation distances. Therefore, optimizing facility layouts to improve production efficiency has become an important issue in manufacturing.
    This study adopts a case study of a Taiwanese company specializing in power management and thermal management solutions, focusing on the production process of liquid-cooled racks. A two-stage integrated approach is proposed for facility layout optimization. First, Systematic Layout Planning (SLP) is applied to conduct Product-Quantity (P-Q) analysis, process flow analysis, and activity relationship analysis to identify logistics requirements and space utilization. Second, the Digital Twin concept is integrated with the discrete event simulation (DES) software FlexSim to establish a virtual production model for evaluating the operational performance of different layout alternatives. The simulation results enable comparisons of multiple layout scenarios before physical implementation, reducing planning risks and trial-and-error costs. The proposed approach provides a systematic framework for facility layout planning of large-scale liquid-cooled racks production lines and serves as a practical reference for enterprises in production planning, facility investment, and smart manufacturing implementation.
    顯示於類別:[工業管理研究所碩士在職專班 ] 博碩士論文

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