運用 ARIS 建構物流管理與資訊系統模型之研究-以半導體A公司為例

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题名:	運用 ARIS 建構物流管理與資訊系統模型之研究-以半導體A公司為例
作者:	丁志成;Ding, Zhi-Cheng
贡献者:	工業管理研究所在職專班
关键词:	半導體;倉儲管理流程;PDA;企業流程管理;ARIS
日期:	2018-05-02
上传时间:	2018-08-31 11:26:56 (UTC+8)
出版者:	國立中央大學
摘要:	全球進入物聯網領軍的智慧自動化時代，產業的營運從過去單一產品以及以技術導向為主的模式，邁向多元化、物與物聯網的生活應用，透過整合物聯網系統與資料分析及自動化，台灣科技產業應掌握以使用者需求為導向的創新服務，進行產業流程的優化，引領台灣科技產業朝向智慧製造的模式進行，並以服務為導向、創造與眾不同的競爭策略。本研究將透過文獻探討，了解企業流程管理及物流管裡的相關應用，然後訂立物流管理需達成的KPI(Key Performance Indicator, 關鍵績效指標)，透過ARIS建構出新物流管理模式來達到需求。以企業流程管理 (Business Process Management，BPM) 為理論基礎，接著以一個半導體封裝公司導入新流程與新硬體為案例，應用企業流程管理中功能齊全的ARIS 軟體來分析並建模。強大的流程分析與策略規劃功能來驗證模式中To-Be Model，經由驗證過程中找到問題的關鍵，驗證之結果完全能夠達到當初研究所設定的 KPI。本研究說明了透過軟硬體系統的協助來進行企業流程改善，能協助企業提升效率、降低成本，使整個生產系統達到最佳流程。;In the era of intelligent automation led by the Internet of Things, the industry′s operation has evolved from a single product-based and technology-oriented model to a diversified, material and Internet of Things life application. By integrating the Internet of Things system and data mining and automation, Taiwan′s science and technology industry should have innovation services, optimize industrial processes, lead Taiwan′s science and technology industry toward a smart manufacturing model, and use service-oriented strategies to create unique competitive strategies. This study will explore through the literature, understand the relevant applications in the enterprise process management and logistics management, and then set up a Key Performance Indicator (KPI) that needs to be achieved in logistics management, and construct a new logistics management model through ARIS to meet the demand. Based on the theory of Business Process Management (BPM), a new semiconductor package company has introduced a new process and new hardware as its case, and applied the full-featured ARIS software in enterprise process management to analyze and model it. Powerful process analysis and strategic planning functions to verify the To-Be Model in the model. Through the verification process, the key to the problem is found. The result of the verification can fully meet the KPI set by the institute. This study illustrates that the improvement of business processes through the assistance of hardware and software systems can help companies improve efficiency and reduce costs, so that the entire production system can achieve the best process.
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