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作者(中文):黃莉涵
作者(外文):Huang, Li Han
論文名稱(中文):自動導向車供應鏈藍圖
論文名稱(外文):Mapping the Future’s AGV Supply Chain
指導教授(中文):李傳楷
指導教授(外文):Lee, Chuan Kai
口試委員(中文):謝英哲
蕭嬋
丁彥允
學位類別:碩士
校院名稱:國立清華大學
系所名稱:科技管理研究所
學號:103073703
出版年(民國):106
畢業學年度:105
語文別:中文
論文頁數:39
中文關鍵詞:自動導向車無人車工廠自動化
外文關鍵詞:Automated Guided Vehicle Unmanned VehicleSelf-drivingindustry automation
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  物聯網及工業4.0時代來臨,許多自動化、智慧型裝置紛紛出籠,而自動導向車也成為發展項目之一。但是,自動導向車並非單只是應用於工業製造上,靈活運用其「自動」以及「導向」的特性,即可發揮高效能於各產業中。而本文正是透過親身參與產業,將所得之資料分析目前市面上已靈活運用自動導向車的實例,再透過分類方法將各項自動導向車分成十一類,可透過分類方法快速檢索得到各應用領域的特性。
  而自動導向車軟硬體特性也在此文討論範圍內,硬體架構可基本拆分為基礎機體、中控電腦、傳感器,而軟體則是依照重要程度分成五類,依序為:即時定位及地圖建構、障礙物辨識及替代路徑選擇、車隊管理、與其他基礎設施溝通、與其他軟體相接。文中將會針對應用、硬體、軟體加以分析建構出自動導向車之供應鏈藍圖。
The era of IOT and Industry 4.0 is coming. We can see there are a lot of automation and intelligent device had been invented. One of the invitation is Automated Guided Vehicle and it becomes one of the most promotion techniques. However, Automated Guided Vehicle is not only applying on manufacturing. If we can apply AGV flexibly base on its features of “Automated” and “Guided”, AGV can play an important role in any kinds of industries.
This research is written through personal participation in the industry. Analyzing the information obtained from the market. Dividing AGVs into 11 categories by the classification method, and the characteristics of each application field can be quickly retrieved by the classification method.
Also, the features of hardware and software of AGV will be discussed in this research. The hardware architecture of the AGV can be spilt into basic body, central computer and sensors. The software can be sorted into five categories and be sequenced by the importance. In the order of Perception and Mapping, Navigation and Control, Fleet Management, Communicate with infrastructure, and Connect with other software. The research will focus on three hardware architecture and five categories of software to do further analysis.
摘要 I
Abstract II
謝辭 III
圖目錄 V
表目錄 V
第一章、 緒論 1
1.1 研究背景 1
1.2 研究動機 3
1.3 研究目的 4
第二章、 文獻探討 5
2.1 自動導向車定義 5
2.2 自動導向車供應鏈 5
2.3 技術藍圖 6
第三章、 研究方法 8
3.1 計劃 9
3.2 執行 10
3.3 分析 11
3.4 總結 12
第四章、 產業分析 13
4.1 自動導向車應用領域 18
4.2 自動導向車硬體架構 20
4.2.1 基礎機體 20
4.2.2 中控電腦設備 22
4.2.3 傳感器 24
4.3 自動導向車軟體發展 27
4.3.1 即時定位及地圖建構 27
4.3.2 障礙物辨識及替代路徑選擇 28
4.3.3 車隊管理 29
4.3.4 與其他基礎設施溝通 29
4.3.5 與其他軟體相接 30
第五章、 結論 31
參考文獻 34

英文文獻
A. Hermann and J. Desel, "Driving situation analysis in automotive environment," 2008 IEEE International Conference on Vehicular Electronics and Safety, Columbus, OH, 2008, pp. 216-221.
A. J. Alvares, J. L. N. de Souza, E. L. S. Teixeira and J. C. E. Ferreira (2008), “A methodology for web-based manufacturing management and control”, 2008 IEEE International Conference on Automation Science and Engineering, Arlington, VA, 2008, pp. 668-673
Dedrick, J. and K. L. Kraemer(2005), “The Impact of IT on Firm and Industry Structure: The Personal Computer Industry”, California Management Review, 47(3), P.122-142.
IDC (2016). “Worldwide Internet of Things Forecast Update, 2016–2020”. Available from: https://www.idc.com/getdoc.jsp?containerId=US40755516 [Accessed 29 August 2016]
L. Sabattini et al., "Technological roadmap to boost the introduction of AGVs in industrial applications," 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, 2013, pp. 203-208.
Low, M., Abrahamson, E. (1997), “Movements, bandwagons and clones: industry evolution and the entrepreneurial process.” Journal of Business Venturing, 12, 435–457.
Müller, T. (1983), “Automated Guided Vehicle”, IFS, Limited, Springer-Verlag, UK/Berlin
Secure System & Technologies. “MIL-STD-810 Overview” Available from: http://sst.ws/downloads/MIL-STD-810%20overview%20iss%205.pdf [Accessed 22 November 2016]
Vis, Iris F A(2006), “Survey of research in the design and control of automated guided vehicle systems.” European Journal of Operational Research 2006, 170: 677–709.

中文文獻
IEK,2014。台灣電子產業回顧與展望。2016年8月29日,取自https://www.itri.org.tw/chi/Content/NewsLetter/Contents.aspx?SiteID=1&MmmID=5000&MSid=621302513530161363
陳舜鴻,2015。實現高精度360度全景偵測 3D LiDAR提高車輛自動化性能。2016年11月22日,取自http://www.mem.com.tw/article_content.asp?sn=1504300006
王智弘,2016。全球車廠瘋自駕車研發 雷達/光達感測新品競出。2016年11月22日,取自http://www.mem.com.tw/article_content.asp?sn=1603300029

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