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研究生(外文):LEE, CHUN-YEE
論文名稱(外文):A Study for Applying Robotic Process Automation (RPA) in Production Management
指導教授(外文):WANG, LI-CHIH
外文關鍵詞:Robotic Process AutomationCloud-based Advanced Planning and SchedulingUML
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隨著人工智慧與物聯網的蓬勃發展,加速了全球製造業追求數位轉型、數據分析、虛實整合、流程自動化等趨勢,促成全球邁向工業4.0。實際落實數位轉型能夠為企業創造價值與締造獲利成長,並且提升營運的效率與效益的重要策略。現今產業為提升競爭力,聚焦於尋找如何降低大量勞動方法,並專注於資料分析、大數據處理自動化,而促成流程自動化機器人(Robotic Process Automation; RPA)的誕生。因此,為使企業內部生產規劃運作流程上更流暢更有效益外,本研究將流程自動化機器人與雲端先進規劃排程系統(Cloud-based Advanced Planning and Scheduling ; CAPS) 結合,將生管人員作業流程規則化,建構出一適合於生管流程自動化機器人(PL-RPA)之導入方法。最後,本研究亦將所提出的導入方法,實際應用在國內某家生產車用手工具企業,應用結果顯示此方法能夠大幅提升生產力、降低錯誤率、節省許多人力資源的成本等。
With the rapid development of artificial intelligence and the Internet of things, the global manufacturing industry has accelerated the pursuit of digital transformation, data analysis, virtual and real integration, process automation, and other trends, which has contributed to the global industry 4.0. The practical implementation of digital transformation can create value and profit growth for enterprises, and improve the efficiency and efficiency of operation. Nowadays, to enhance the competitiveness of the business, it focuses on finding ways to remove a lot of labor, and focuses on data analysis and automatic processing of big data, thus contributing to the birth of the RPA process automation robot. Therefore, to make the internal production planning and operation process more effective, this study combines process automation robot (RPA) with cloud advanced planning and scheduling system (CAPS), regularizes the operation process of production management personnel, and constructs a method suitable for the introduction of production management process automation machine (PL-RPA). Finally, the method is applied to a domestic vehicle hand tool company. The application results show that this method can greatly improve productivity, reduce the error rate and save the cost of many human resources.
摘 要I
致謝 III
目錄 IV
表目錄 V
圖目錄 VI
第一章 緒論 1
1.1研究背景與動機 1
1.2 研究目的 4
1.3 研究方法與流程 5
第二章 文獻回顧 6
2.1 生產排程的現況 6
2.2 流程自動化機器人8
2.3 統一塑模語言 18
2.4 先進規劃排程系統 20
2.5 雲端先進規劃排程系統之模組與功能架構 22
第三章 生管流程自動化機器人架構與導入方法 24
3.1 問題描述 24
3.2 生管流程自動化機器人導入流程與架構 25
3.3 RPA導入程序 29
第四章 驗證與評估 35
4.1 案例說明 35
4.2 導入流程方法驗證 36
4.3 績效評估 45
第五章 結論與未來展望 58
5.1 結論 58
5.2 未來展望 58
參考文獻 60

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