許多研究學者相繼提出雲端製造的相關解決方案，但這些方案通常既昂貴、龐大又複雜，傳統製造公司往往難以選擇與導入。因此，本論文首先探討了現階段雲端服務在製造上的瓶頸，並提出一精簡型製造私有雲架構 (Compact Manufacturing Private Cloud Infrastructure, CMPCI)，以應用雲端運算與物聯網技術來解決上述的問題。最後，透過實現與實驗兩關鍵技術以驗證上述架構。本論文之目的旨在協助上游廠商提供下游廠商免費、快速、零投資的私有雲端架構。其中，實現之兩關鍵技術分述如下：
關鍵技術一：基於物聯網的物流管理系統技術
(1) 以T公司為導入情境，建構基於物流雲的物流管理系統。
(2) 設計並且應用該物流管理系統至一物流情境，以證明其實際可行。
(3) 以多個實驗證明該基於物聯網的物流管理系統效果卓著。
關鍵技術二：基於代理人的設備監控系統技術
(1) 提出與發展一個可跨平台的資訊擷取代理人架構與機制。
(2) 使用TCP/IP為基的服務為導向通訊架構實現封包格式設定與傳輸測試。
(3) 透過代理人實驗 (含封包監控與人機介面操作)，以證明此異質性平台的封包監控機制是可行的。

Many researchers have proposed cloud computing solutions for manufacturing companies. However, they are usually too expensive and complicated for traditional manufacturing companies to compare and to determine the services they need. Therefore, this thesis discusses the current bottlenecks of cloud services and provides a novel compact manufacturing private cloud infrastructure (CMPCI) in order to apply cloud computing infrastructure and Internet of Things (IoT) to resolve the above issues. The objectives of this research are to help upstream service providers to provide free, fast and non-investment cloud services to downstream users. Two key technologies developed for implementing CMPCI are listed as follows:
1. Key Technology 1: IoT-based Logistic Management System Technology.
(1) A logistic management system technology based on Logistic Cloud is deployed and applied to a scenario of T Company.
(2) A logistic management system design was applied in a normal logistic scenario to prove that the developed IoT-based Logistic Management System Technology is workable in actual logistic applications.
(3) Several experiments results showed that the developed IoT-based Logistic Management System Technology performance is remarkable.
2. Key Technology 2: Agent-based Equipment Monitoring System Technology.
(1) A framework for a cross-platform information mining agent with its mechanism was proposed and developed.
(2) The technology of implementing a packet format setup and transmission test was developed in this research using TCP/IP-based service oriented architecture communication protocol.
(3) An agent experiment, including packet monitoring and a human-machine interface operating, was developed in this research to show that a heterogonous platform packet monitoring is workable.

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