| 研究生: |
邱文宇 CHIU, WEN-YU |
|---|---|
| 論文名稱: |
一個PCB產業以In-house模式 實踐智慧製造之個案研究 A Case Study on the Implementation of Smart Manufacturing in the PCB Industry through an In-house Mode |
| 指導教授: | 呂俊德 |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 高階主管企管碩士班 Executive MBA Program |
| 論文出版年: | 2025 |
| 畢業學年度: | 113 |
| 語文別: | 中文 |
| 論文頁數: | 78 |
| 中文關鍵詞: | 數位化 、智慧製造 、自主化 、低成本 、自行開發 |
| 外文關鍵詞: | Digitalization, Intelligent Manufacturing, In-house, Low-Cost, Self-Development |
| 相關次數: | 點閱:13 下載:0 |
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PCB產業有著高度成熟的單機自動化供應鏈,但別於半導體產業,在智慧製造生產、數位化工廠的系統應用上,並無統一、成熟的通訊標準或通訊協議,而,各成熟的系統業者,也為此提供各式各樣的數位化工廠、智慧製造生產的系統解決方案及系統產品(如:軟體、硬體…等),以提供並協助各家PCB業者,來進行數位化工廠、智慧製造生產上技術應用的實踐。而解決方案之間,除了技術應用的差異特色外,在導入費用和實務上的實際應用以及導入過程的推動難易度,也都不盡相同。
因此,在數位化工廠、智慧製造生產的導入應用與實踐上的差異,便形成了各PCB業者在數位化工廠、智慧製造生產應用上的策略模型。
本研究的目的,是透過完全的內部自行建置、開發(簡稱:In-house),從而達到相同的目的,來進行數位化工廠、智慧製造生產技術應用上的實踐。也就是在數位化工廠、智慧製造生產上的技術應用的實踐,通過In-house的方式,為主要的解決方案及實踐策略,從而達到生產效能優化、提升競爭力的目的。
本研究發現,經由內部自組In-house團隊,找到最佳化種子人員,並結合Domain Knowledge的優勢,以及企業組織上的推動策略。在數位化工廠以及智慧製造生產技術應用的導入成本、導入時效、應用規模,具有極大的競爭優勢,從而,降低與減少導入的障礙,使數位化工廠、智慧製造生產技術應用可以充分實踐在個案中,因此,不同的製造業者,也可通過本論文所觀察個案的解決方案,來進行低成本、高效、快速適應的數位化工廠、智慧製造生產的導入與應用方式。
The PCB industry has a highly mature single-machine automation supply chain. Unlike the semiconductor industry, it lacks unified standards or communication protocols for intelligent manufacturing and digital factory systems. However, various system providers offer diverse solutions and digital, intelligent manufacturing-related application systems to help PCB manufacturers implement digital factories and intelligent manufacturing. These solutions vary in technological applications, implementation costs, practical applications, and ease of implementation, leading to different strategic models for PCB manufacturers.
This study aims to achieve the same goals through complete in-house development and implementation, focusing on digital factory and intelligent manufacturing applications. By forming an in-house team, identifying optimal seed personnel, leveraging domain knowledge, and obtaining organizational support, PCB manufacturers can achieve significant cost and time efficiency advantages. This approach helps reduce the costs and expenses associated with the implementation of digital factories and intelligent manufacturing. Other manufacturers can also refer to the case solutions observed in this paper to achieve low-cost and efficient implementation and application of digital factories and intelligent manufacturing.
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