工業 4.0 的一個核心願景是建立具備更有彈性與更有效率的製程，且能以更低的 成本製造更高質量的產品之智慧工廠。為了達到此願景，製造業有必要建置可以支持 各項製造活動的智慧製造平台。 先進製造物聯雲(AMCoT, Advanced Manufacturing Cloud of Things) 為智慧製造平台的一個範例，已經實際應用在一些製造業。在雲端， AMCoT 提供許多智能製造雲服務(包括全自動虛擬量測 AVM、智慧預測保養 IPM、 智慧良率管理 IYM 等)，在工廠端，AMCoT 部署許多智慧製造裝置-虛實整合代理人 (CPA, Cyber-Physical Agent)，用於提供機台資料收集與通訊的能力，並可隨需要加入 各種抽換式應用模組(PAM, Pluggable Application Module)，以提供各種智慧化功能。 然而既存的 CPA 在開發與部署存在一些缺點：(1)需要事先安裝許多關鍵元件，而且 安裝過程繁瑣；(2)整合不同團隊開發的程式在 CPA 中，容易產生版本衝突；(3)無法 因應效能需求調整 PAM 所需的硬體資源；(4)並未提供負載平衡、橫向伸縮、失效轉 移等能使 CPA 強健運作的功能。因此，本論文基於邊緣運算與容器技術研發一個智 慧製造裝置(如 CPA)的快速建置機制，可以有效解決上述問題。同時，本論文也建構 一個雲端管理平台，可用於管理與持續部署智慧製造裝置。最後，本論文以在智慧製 造裝置建構兩個容器化 PAM 為研究案例，測試結果驗證了所研發系統之有效性。本 論文的研究結果可作為工廠快速建置智慧製造裝置之有用參考。

A core vision of Industry 4.0 is to create smart factories that can enable more flexible, and more efficient processes to manufacture higher-quality goods at reduced costs. To achieve such a vision, building an intelligent manufacturing platform that can support various manufacturing activities is essential for manufacturing industries. Advanced Manufacturing Cloud of Things (AMCoT) is an example intelligent manufacturing platform that has been applied in several manufacturing industries. On the cloud side, AMCoT provides many intelligent manufacturing cloud services, including AVM (Automatic Virtual Metrology), IPM (Intelligent Predictive Maintenance), and IYM (Intelligent Yield Management). On the factory side, AMCoT deploys many intelligent manufacturing devices-CPAs (Cyber-Physical Agents), which can provide equipment with the capabilities of data collection and communication and can be added with various PAMs (Pluggable Application Modules) on demand for providing intelligent functionalities. However, the existing CPA has several shortcomings in development and deployment:(1) Many key components need to be installed into CPA beforehand, and the installation process is cumbersome and prone to errors.(2) Integrating programs developed by different teams in CPA is prone to version conflicts.(3) CPA is unable to adjust the hardware resources required by PAMs to meet performance needs.(4) CPA does not provide functions of load balancing, horizontal scaling, and failover, which are required to make CPA to function robustly. Thus, this thesis proposes a novel rapid construction scheme of intelligent manufacturing devices (e.g., CPA) based on edge computing and container technologies for resolving the abovementioned issues. Also, a cloud-based management platform is built for the management and continuous deployment of intelligent manufacturing devices. Finally, constructing two containerized PAMs in an intelligent manufacturing device is used as the case study. Testing results validate the effectiveness of the developed system. This thesis can serve as a useful reference to rapidly construct intelligent manufacturing devices for the factory.

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