| 研究生: |
蔡昌亘 CHANG-HSUAN TSAI |
|---|---|
| 論文名稱: |
應用QFD與DSM設計模組化電動車 Applying QFD and DSM for designing modular electric vehicles |
| 指導教授: | 高信培 |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業管理研究所 Graduate Institute of Industrial Management |
| 論文出版年: | 2022 |
| 畢業學年度: | 110 |
| 語文別: | 中文 |
| 論文頁數: | 46 |
| 中文關鍵詞: | 品質機能展開 、設計結構矩陣 、模組化 |
| 相關次數: | 點閱:5 下載:0 |
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近年來,車用電子產品使用以及電池蓄電能力的突破,電動車開始在汽車市場成為消費者的購買選項。從產業面的角度觀察,由於使用馬達取代引擎成為動力輸出來源,打破原先由傳統車廠把持的引擎專利技術。因此這項產業的進入門檻降低,增加新進入者的數量,創造更多元選擇的汽車市場。同時隨著環保意識抬頭以及政策引導,電動車的需求逐步提升,市場預計未來十年銷售量將達到3110萬輛,電動車市場無疑是一片新的藍海。
本研究透過品質機能展開(Quality Function Deployment, QFD)了解客戶需求,再使用設計結構矩陣(Design Structure Matrix, DSM)分析零件之間的互動關係,將有明顯影響之零附件模組化,完成產品架構,加強電動車的客製化與開發效率。
藉由上述兩項方法的使用發現幾個結果。消費者對於電動車的電池續航能力以及充電速度仍然有疑慮,因此混和動力車目前依然有其存在的市場。透過模組化的方式,將零件依據互動關係的親疏,劃分出功能模組,讓顧客依據需要選擇不同零件模組打造符合需求的電動車。
In recent years, with breakthroughs in the use of automotive electronic products and battery storage capacity, electric vehicles have begun to become a purchasing option for consumers in the automotive market. From an industrial perspective, the use of motors instead of engines as the source of power output breaks the patented engine technology previously held by traditional car manufacturers. As a result, the barriers to entry in this industry are lowered, increasing the number of new entrants and creating a more diverse automotive market. At the same time, with the rise of environmental awareness and policy guidance, the demand for electric vehicles has gradually increased. The market is expected to sell 31.1 million vehicles in the next ten years. The electric vehicle market is undoubtedly a new blue ocean.
This research uses Quality Function Deployment (QFD) to understand customer needs, and then uses Design Structure Matrix (DSM) to analyze the interaction between parts, and modularizes the parts that have a significant impact to complete the product. structure to enhance the customization and development efficiency of electric vehicles.
Several results were found by the use of the above two methods. Consumers still have doubts about the battery life and charging speed of electric vehicles, so there is still a market for hybrid vehicles. Through the modular approach, the parts are divided into functional modules according to the closeness of the interaction relationship, allowing customers to choose different parts and modules according to their needs to create electric vehicles that meet their needs
[1.] Zhang, X., Ma, S., & Chen, S. (2019). Healthcare process modularization using design structure matrix. Advanced Engineering Informatics, 39, 320-330.
[2.] Liu, A., Hu, H., Zhang, X., & Lei, D. (2017). Novel two-phase approach for process optimization of customer collaborative design based on fuzzy-QFD and DSM. IEEE Transactions on Engineering Management, 64(2), 193-207.
[3.] Yassine, A. (2004). An introduction to modeling and analyzing complex product development processes using the design structure matrix (DSM) method. Urbana, 51(9), 1-17.
[4.] Reza, C. M., Dachyar, M., & Nurcahyo, R. (2019, August). Project Scheduling of New Product Development Process in Automotive Industry in Indonesia Using Design Structure Matrix (DSM). In IOP Conference Series: Materials Science and Engineering (Vol. 598, No. 1, p. 012048). IOP Publishing.
[5.] Martinus, P. Y., & Bagus, S. A. (2014, November). The modular concept design development of national electric car: Case study at Institute of Technology Bandung. In 2014 International Conference on Electrical Engineering and Computer Science (ICEECS) (pp. 127-135). IEEE.
[6.] Tu, J. C., & Yang, C. (2019). Key factors influencing consumers’ purchase of electric vehicles. Sustainability, 11(14), 3863.
[7.] Eppinger, & Browning, T. R. (2012). Design structure matrix methods and applications. MIT Press.
[8.] Fahma, F., Iftadi, I., & Putri, N. A. (2015, November). Customer requirement analysis of driver's seat design using Quality Function Deployment (QFD) case study: City car. In Proceedings of the Joint International Conference on Electric Vehicular Technology and Industrial, Mechanical, Electrical and Chemical Engineering (ICEVT & IMECE) (pp. 173-177). IEEE.
[9.] Maeda, A., & Tatsumoto, H. (2021, May). Impact of Modularization on the Design Process-Case Study of Antenna Design for Smartphones. In 2021 International Conference on Electronics Packaging (ICEP) (pp. 85-86). IEEE.
[10.] Wolniak, R. (2017). The history of the QFD method. Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska.
[11.] Carnevalli, J. A., & Miguel, P. C. (2008). Review, analysis and classification of the literature on QFD—Types of research, difficulties and benefits. International Journal of Production Economics, 114(2), 737-754.
[12.] Prasad, B. (1998). Review of QFD and related deployment techniques. Journal of manufacturing Systems, 17(3), 221-234.
[13.] Yim, H., & Lee, K. (2015). Preliminary modular design for electric personal mobility with design-engineering collaboration. World Electric Vehicle Journal, 7(3), 426-435.
[14.] Boudouh, T., & Bendada, L. (2017). Product development process improvement: A review of Design Structure Matrix methods. In MATEC Web of Conferences (Vol. 112, p. 08017). EDP Sciences.
[15.] Fazeli, H., & Peng, Q. (2021). Efficient extraction of information from correlation matrix for product design using an integrated QFD-DEMATEL method. Comput-Aided Design Appl, 18(5), 1131-1145.