COVID-19雖加劇了全球製造業放緩的趨勢，各個企業紛紛朝著自動無人化工廠為發展目標，而自動化倉儲對於無人化工廠是至關重要的一環。本研究主要探討輕型無人搬運車的產品開發與應用，目前研發將流程拆為四個部分產品企劃、設計分析、設計展開、設計驗證，從產品前端分析一直到試量產階段，建立一套最佳化的設計流程以及驗證方法。目前研究方法選用QFD品質機能展開設計、AHP層級法設計，對車體模組以零件選用進行評估，從與客戶的對談了解客戶需求，透過客戶需求的關係全種對各部分進行設計分析，例如:重量、容易操作、安全性等，再透由AHP的方式將車體進行模組化分析，針對不同的需求可以進行模組間的切換，以此方式增加使用靈活度。鑒於本次開發為產學合作案，需要配合廠商指定零件進行設計，須符合派車軟體的功能需求，能夠直接將軟體轉移至輕型車體進行展示，故此本開發目標不再於做出功能強大最創新的車體，而是做出能夠容易使用且更低成本，能將自動化無人車普及的平台。本研究貢獻度在於: 切入市場空缺的輕型無人車市場，透過QFD、AHP的方式將車體設計得更簡單化，使車體更適合用於訓練及教育使用，且透過產學計畫的配合，也可藉由產業協助將本研究結果推向市場。目前已延伸此篇論文發表三篇國際研討會論文，也透過廠商賣出6台基礎車型，專案完成同時也完成3項產學專案。

Although COVID-19 has exacerbated the slowdown of the global manufacturing industry, various companies have been developing automated unmanned chemical factories. This research mainly discusses the product development and application of light unmanned guided vehicles. The research and development process is divided into four parts: product planning, design analysis, design development, and design verification. From the front-end analysis of the product to the trial production stage, a set of most Optimized design processes and verification methods. Currently, the research method adopts QFD quality function development design and AHP hierarchical method design, evaluates the car body module based on the selection of parts, understands customer needs from the dialogue with customers, and conducts design analysis of each part through the relationship of customer needs. Then through the AHP method conduct a modular analysis of the car body and switch between modules according to different needs to increase the flexibility of use. Since this development is an industry-university cooperation project, it is necessary to cooperate with the design of the parts specified by the manufacturer, and it must meet the functional requirements of the dispatching software. The software can be directly transferred to the light vehicle body for display. Therefore, the development goal is no longer to make powerful functions. The most innovative car body is to make a platform that is easy to use, lower cost, and can popularize automated crewless vehicles. The contribution of this research lies in: cutting into the light-duty unmanned vehicle market, which is vacant in the market, and simplifying the design of the vehicle body through QFD and AHP, making the vehicle body more suitable for training and educational use, and through the cooperation of industry-university programs, and the results of this research can also be brought to the market with industry assistance. This paper has been extended, three international seminar papers have been published, and six basic models have been sold through manufacturers. The project has been completed, and three industry-academia projects have been completed.

誌謝 iii
目錄 iv
圖目錄 vi
表目錄 viii
第一章、緒論 1
1.1研究背景 1
1.2研究動機 1
第二章、文獻探討 3
2.1智慧工廠物流 3
2.2訓練系統 5
2.3產品設計方法 6
2.3.1 QFD品質機能展開法 7
2.3.2 AHP層級法 9
2.3.3 FMEA失效模式與影響分析 13
2.3.4 DFMA易製造及組裝的設計 15
第三章、研究方法 16
3.1研究架構 16
3.2預期成果 18
第四章、AGV產品企劃 19
4.1 AGV市場需求分析 20
4.2車體模組化設計分析 25
4.3面板設計需求 34
4.4電路與韌體設計 37
4.4.1電路與韌體設計規劃 37
4.4.2電路與派車軟體整合 40
4.5 AGV設計評估 43
4.6 AGV設計規格 46
第五章、AGV產品設計 48
5.1現有車體架構 48
5.2第一版設計 50
5.3第二版設計 53
5.3.1車體架構模組 53
5.3.2車體動力模組 61
5.3.3傳輸模組 63
5.3.4設計檢討 66
5.4各版本設計比較 68
5.5 DFMA車體設計驗證 70
第六章、AGV整合驗證 73
6.1派車系統 73
6.1.1介面功能設計 76
6.1.2系統架構 76
6.1.3射頻標籤布置 78
6.2功能整合測試 86
6.3專家訪談 88
第七章、結論 95
7.1研究結論 95
7.2研究貢獻 96
7.3研究建議 96
參考文獻 98

[1]Syahputri, K., Siregar, I., Rizkya, I., & Sari, R. M. (2019, August) . Determination of Technical Characteristics in Panel Button and Control Seat Using Quality Function Deployment. In 2019 International Conference on Sustainable Engineering and Creative Computing (ICSECC) (pp. 412-415) . IEEE.
[2]Sawant, V. B., & Mohite, S. S. (2013) . A composite weight based multiple attribute decision support system for the selection of automated guided vehicles. International Journal of Computer Applications, 70 (19) .
[3]Fazlollahtabar, H., & Saidi—Mehrabad, M. (2015) . Risk assessment for multiple automated guided vehicle manufacturing network. Robotics and Autonomous Systems, 74,175-183.
[4]Trenkle, A., Seibold, Z., & Stoll, T. (2013, October) . Safety requirements and safety functions for decentralized controlled autonomous systems. In 2013 XXIV International conference on information, communication and automation technologies (ICAT) (pp. 1-6) . IEEE.
[5]Zou, O., & Zhong, R. Y. (2018, July) . Automatic Logistics in a Smart Factory using RFID-enabled AGVs. In 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 822-826) . IEEE.
[6]Wang, S., Wan, J., Li, D., & Zhang, C. (2016) . Implementing smart factory of industrie 4.0: an outlook. International journal of distributed sensor networks, 12 (1) , 3159805.
[7]Shi, Z., Xie, Y., Xue, W., Chen, Y., Fu, L., & Xu, X. (2020) . Smart factory in Industry 4.0. Systems Research and Behavioral Science, 37 (4) , 607-617.
[8]Herrmann, F. (2018) . The smart factory and its risks. Systems, 6 (4) , 38.
[9]Büchi, G., Cugno, M., & Castagnoli, R. (2020) . Smart factory performance and Industry 4.0. Technological Forecasting and Social Change, 150, 119790.
[10]Yeh, C. H., Huang, J. C., & Yu, C. K. (2011) . Integration of four-phase QFD and TRIZ in product R&D: a notebook case study. Research in Engineering Design, 22 (3) , 125-141.
[11]Loukatos, D., & Arvanitis, K. G. (2019) . Extending smart phone based techniques to provide ai flavored interaction with diy robots, over wi-fi and lora interfaces. Education Sciences, 9 (3) , 224.
[12]Cervera, N., Diago, P. D., Orcos, L., & Yáñez, D. F. (2020) . The acquisition of computational thinking through mentoring: an exploratory study. Education Sciences, 10 (8) , 202.
[13]Zhang, D., & Guo, Z. (2022) . Design of the service robot applied to undergraduate laboratory of pharmacy major. The Journal of Engineering, 2022 (4) , 452-457.
[14]Booker, J. D., Swift, K. G., & Brown, N. J. (2005) . Designing for assembly quality: strategies, guidelines and techniques. Journal of Engineering design, 16 (3) , 279-295.
[15]Ziv-Av, A., & Reich, Y. (2005) . SOS–subjective objective system for generating optimal product concepts. Design Studies, 26 (5) , 509-533.
[16]Shoults, L. W. (2016) . Implementation of design failure modes and effects analysis for hybrid vehicle systems (Doctoral dissertation, Virginia Tech) .
[17]Büchi, G., Cugno, M., & Castagnoli, R. (2020) . Smart factory performance and Industry 4.0. Technological Forecasting and Social Change, 150, 119790.
[18]Hozdić, E. (2015) . Smart factory for industry 4.0: A review. International Journal of Modern Manufacturing Technologies, 7 (1) , 28-35.
[19]Volotinen, J., & Lohtander, M. (2018) . The re-design of the ventilation unit with DFMA aspects: case study in Finnish industry. Procedia Manufacturing, 25, 557-564.
[20]Boothroyd, G., Dewhurst, P., & Knight, W. A. (1994) . Product design for manufacture and assembly. New York: M.
[21]Rah, J. E., Manger, R. P., Yock, A. D., & Kim, G. Y. (2016) . A comparison of two prospective risk analysis methods: Traditional FMEA and a modified healthcare FMEA. Medical Physics, 43 (12) , 6347-6353.
[22]Todić, V., Lukić, D., Milošević, M., Jovičić, G., & Vukman, J. (2012) . Manufacturability of product design regarding suitability for manufacturing and assembly (DFMA) . Journal of production engineering, 16 (1) , 47-50.