簡易檢索 / 詳目顯示

研究生: 方鴻源
Fang, Hung-Yuan
論文名稱: 精實生產結合數位製造之研究-以汽車零件製造業為例
A Study on the Hybrid Lean Production and Digital Manufacturing-Case of Auto Parts Manufacturing
指導教授: 楊大和
Yang, Ta-Ho
學位類別: 碩士
Master
系所名稱: 工學院 - 工程管理碩士在職專班
Engineering Management Graduate Program(on-the-job class)
論文出版年: 2020
畢業學年度: 108
語文別: 中文
論文頁數: 86
中文關鍵詞: 精實生產數位製造著著化TPSVSM
外文關鍵詞: Lean Production, Digital Manufacturing, Chaku-Chaku Line, TPS, VSM
相關次數: 點閱:222下載:48
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 台灣汽車及其零件製造業之生產價值,於2019年達新台幣3,584億元,佔台灣製造業總生產價值2.7%。其中汽車零件製造業生產價值為新台幣1,861億元,佔該產業51.9%,並以外銷為主。台灣汽車及其零件製造業在面對內銷市場規模逐漸縮小,產品需求走向多樣少量的市場形態,特別是針對產品專注於國內市場為主力的廠商,其所面臨更嚴苛的考驗,各家廠商勢必得面臨企業轉型的情況。本文探討汽車零件製造業之個案公司,推行精實生產與數位製造之步驟及方法,建構出未來智慧製造的基礎。個案公司首先運用全面生產管理(Total Productive Maintenance,TPM)及全面品質管理(Total Quality Management,TQM)的手法,建立設備及品質穩定的基礎。接下來運用精實工具-價值流圖(Value Stream Mapping,VSM)及其手法,建立連續流動的工程,並導入拉式生產系統。運用單元工程著著化的方法,進行著著化生產線改善。藉由製造執行系統(Manufacturing Execution System,MES)系統導入,建立資訊體系,提升管理水準,並逐步擴充資訊系統模組,建立模具保養,領料系統電子化,簡化相關作業流程。在此基礎之下進行智慧化運用,建立自動生產排程系統與徵兆管理機制。經過上述改善,與實施改善案前的績效比較: 個案公司總計達到整體總合效率(Overall Equipment Effectiveness,OEE)由65%提升至75%(提升15%),零件零缺裝,庫存由3日降低至1.5日 (降低50%),週期時間(cycle time) 由60秒降至53秒(降低12%),物流人員由7人減少至5人 (減少29%),物料領取流程由111分鐘降低至42分鐘 (降低62%)的效果。

    The production value of Taiwan's automobile and parts manufacturing industry reached NT$358.4 billion in 2019, accounting for 2.7% of the total production value of Taiwan's manufacturing industry. Among them, the production value of the auto parts manufacturing is NT$186.1 billion, accounting for 51.9% of the industry, and is mainly exported. Taiwan’s automobile and parts manufacturing industry is facing the gradual shrinking of the domestic market, and the demand for products is moving towards a diversified and small market form. Especially for manufacturers whose products are focused on the domestic market, they are facing more stringent tests. It is bound to face the situation of enterprise transformation. This article explores the steps and methods of implementing lean production and digital manufacturing for individual companies in the auto parts manufacturing industry to build the foundation for future smart manufacturing. The case company first used Total Productive Maintenance (TPM) and Total Quality Management (TQM) methods to establish a stable foundation for equipment and quality. Next, use the lean tool-Value Stream Mapping (VSM) and its methods to establish a continuous flow project and introduce a pull production system. Use the method of cellular manufacturing and the method of Chaku-Chaku line, to improve the production line. Through the introduction of the Manufacturing Execution System (MES) system, an information system is established to improve the management level, and gradually expand the information system modules, establish mold maintenance, electronic material picking systems, and simplify related operations. On this basis, intelligent use is carried out to establish an automatic production scheduling system and a symptom management mechanism. After the above improvement, compared with the performance before the implementation of the improvement case: The total equipment effectiveness (OEE) of the case company has been increased from 65% to 75% (an increase of 15%), with no shortage of parts, and inventory from 3 days Reduced to 1.5 days (50% reduction), cycle time reduced from 60 seconds to 53 seconds (12% reduction), logistics personnel reduced from 7 to 5 (29% reduction), and material collection process reduced from 111 minutes Reduced to 42 minutes (62% reduction).

    摘要 ii Extended Abstract iii 誌謝 vi 目錄 vii 表目錄 ix 圖目錄 x 1. 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 4 1.3 研究範圍及限制 5 1.4 研究流程與架構 5 2. 文獻探討 6 2.1 精實生產 6 2.2 全面生產管理 (Total Productive Maintenance, TPM) 17 2.3 全面品質管理(Total Quality Management, TQM) 18 2.4 TQC,TPS,TPM三位一體生產系統 19 2.5 數位製造(Digital Manufacturing) 20 2.6 工業4.0與智慧製造 24 2.7 精實智慧製造 29 2.8 小結 30 3. 研究方法 31 3.1 價值流VSM (Value Stream Mapping) 32 3.2 拉式生產系統 36 3.3 自働化 41 3.4 資訊化與智慧化 46 4. 個案實証分析 47 4.1 個案公司概要及沿革 47 4.2 基礎穩固階段 50 4.3 精實改善階段 52 4.4 自働化/資訊化改善階段 62 4.5 智慧化運用階段 73 4.6 改善成果彙整 79 5. 結論與建議 80 5.1 研究結論 80 5.2 未來研究建議 81 參考文獻 83

    上海坤道信息技术有限公司. (2020). Available : http://www.simu-cad.com/product-1733.aspx (取得日期:2020年6月20日)
    下川浩一, & 藤本隆宏. (2005). 豐田系統的原點. 臺北市: 中衛發展中心.
    大野耐一. (1978). トヨタ生産方式: 脱規模の経営をめざして: ダイヤモンド社.
    中衛發展中心. (2008). 中衛報告-從A到A+的TPM大躍進 (Vol. No.5). 台北市: 中衛發展中心.
    日本設備維護協會. (1996). 新 TPM 加工組立篇. 臺北市: 中衛發展中心.
    台灣區車輛工業同業公會. (2020). 台灣汽車產銷統計表,Available : https://www.ttvma.org.tw/industry (取得日期:2020年6月20日)
    石川秀人. (2009). 最新圖解豐田生產方式之基本與實踐. 臺北市: 中衛發展中心發行.
    成沢俊子, & Shook, J. (2007). 大家來學TPS : 豐田改善直通車. 臺北市: 中衛發展中心發行.
    江瑞坤. (2003). 整合TQC、TPS、TPM生產管理改善活動實證之研究. (碩士). 國立雲林科技大學, 雲林縣. Retrieved from https://hdl.handle.net/11296/828qmk
    李朝森. (2003). 從製造產品本質來探討JIT生產方式. (碩士). 國立中央大學, 桃園縣. Retrieved from https://hdl.handle.net/11296/7hxm88
    李碩軒. (2018). 結合現場控制系統與管理會計之精實改善評估系統-以光學眼鏡製造為例. (碩士). 國立成功大學, 台南市. Retrieved from https://hdl.handle.net/11296/hvvw9s
    柳生俊二. (2008). 從單元細胞開始的同期生產方式 : 從「單元化」到「著著化」邁進的66個重點. 臺北市: 中衛發展中心發行.
    若松義人, & 近藤哲夫. (2004). 豐田式生產力. 桃園縣: 和昌.
    國瑞汽車.(2016).生產的架構,國瑞汽車內部教育訓練教材。
    郭芝榕. (2019).工廠怎麼做數位轉型?小心落入智慧工廠的5大誤區,台北市: 數位時代.Available : https://fc.bnext.com.tw/smart-manufacturing-5-crises/ (取得日期:2020年6月20日)
    陳貽欣. (2008). 實踐TPS過程資訊科技運用模式之初探. (碩士). 東海大學, 台中市. Retrieved from https://hdl.handle.net/11296/qr45yh
    曾如瑩. (2019). 730天獨家追蹤 Nike訂單回台,台北市: 商業周刊.Available : https://www.businessweekly.com.tw/magazine/Article_page.aspx?id=37997 (取得日期:2020年6月20日)
    經濟部工業局. (2020).行政院生產力4.0發展方案,Available : https://ws.ndc.gov.tw/Download.ashx?u=LzAwMS9hZG1pbmlzdHJhdG9yLzEwL3JlbGZpbGUvMC85MjQ2L2Q3NDQ4NzA4LWRmYjktNGU0YS04MDQ5LWNhMWNhOTE1MDI1Yy5wZGY%3D&n=Mi7nibnliKXloLHlsI4zLnBkZg%3D%3D&icon=..pdf (取得日期:2020年6月20日)
    經濟部統計處. (2020). 工業產銷存價值統計調查,Available : https://dmz26.moea.gov.tw/GMWeb/investigate/InvestigateDB.aspx (取得日期:2020年6月20日)
    歐陽生. (2018). 精益智能製造. 北京市: 機械工業出版社.
    黎立仁, 吳銀澤, & 劉仁傑. (2020). 精實智慧製造:概念架構與策略性解決共創平台. 管理與系統, 27(2), 191-211. doi:10.29416/JMS.202004_27(2).0005
    饒偉弘. (2017). 工業 4.0 趨勢之下客製化訂單工廠關鍵成功因素之研究. (碩士). 國立中興大學, 台中市. Retrieved from https://hdl.handle.net/11296/ztxf48
    adidas. (2019). Available : https://www.adidas-group.com/en/media/news-archive/press-releases/2019/adidas-deploys-speedfactory-technology-at-asian-suppliers-by-end-2019/ (取得日期:2020年6月20日)
    Almada-Lobo, F. (2015). The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES). Journal of Innovation Management, 3(4), 16-21.
    Azadegan, A., Patel, P. C., Zangoueinezhad, A., & Linderman, K. (2013). The effect of environmental complexity and environmental dynamism on lean practices. Journal of Operations Management, 31(4), 193-212.
    Baldwin, L., Eldabi, T., Hlupic, V., & Irani, Z. (2000). Enhancing simulation software for use in manufacturing. Logistics Information Management.
    Buer, S.-V., Strandhagen, J. O., & Chan, F. T. (2018). The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. International Journal of Production Research, 56(8), 2924-2940.
    Cagliano, R., & Spina, G. (2000). Advanced manufacturing technologies and strategically flexible production. Journal of Operations Management, 18(2), 169-190.
    Chryssolouris, G., Mavrikios, D., Papakostas, N., Mourtzis, D., Michalos, G., & Georgoulias, K. (2009). Digital manufacturing: history, perspectives, and outlook. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223(5), 451-462.
    Cua, K. O., McKone, K. E., & Schroeder, R. G. (2001). Relationships between implementation of TQM, JIT, and TPM and manufacturing performance. Journal of Operations Management, 19(6), 675-694.
    Dombrowski, U., Richter, T., & Krenkel, P. (2017). Interdependencies of Industrie 4.0 & Lean production systems: A use cases analysis. Procedia Manufacturing, 11, 1061-1068.
    Imai, M. (1998). Will America's corporate theme song be" Just in Time"? The Journal for Quality and Participation, 21(2), 26.
    Khanchanapong, T., Prajogo, D., Sohal, A. S., Cooper, B. K., Yeung, A. C., & Cheng, T. C. E. (2014). The unique and complementary effects of manufacturing technologies and lean practices on manufacturing operational performance. International Journal of Production Economics, 153, 191-203.
    King, G., Jones, R., & Simner, D. (2003). A good practice model for implementation of computer-aided engineering analysis in product development. Journal of Engineering Design, 14(3), 315-331.
    Kolberg, D., & Zühlke, D. (2015). Lean automation enabled by industry 4.0 technologies. IFAC-PapersOnLine, 48(3), 1870-1875.
    Liker, J. K. (2004). The Toyota Way New York: McGraw-Hill.
    Mayr, A., Weigelt, M., Kühl, A., Grimm, S., Erll, A., Potzel, M., & Franke, J. (2018). Lean 4.0-A conceptual conjunction of lean management and Industry 4.0. Procedia Cirp, 72(1), 622-628.
    Paritala, P., Manchikatla, S., & Yarlagadda, P. (2017). Digital Manufacturing- Applications Past, Current, and Future Trends. Procedia engineering, 174, 982-991. doi:10.1016/j.proeng.2017.01.250
    Purtell, C. (1993). Manufacturing Execution Software-Can Your Company Afford it Or Afford Not to Have it? Manufacturing Marketplace, 90-103.
    Riezebos, J., Klingenberg, W., & Hicks, C. (2009). Lean production and information technology: connection or contradiction? Computers in industry, 60(4), 237-247.
    Rother, M., & Harris, R. (2001). Creating Continuous Flow. Cambridge, MA: Lean Enterprise Institute.
    Rother, M., & Shook, J. (2003). Learning to See. Cambridge, MA: Lean Enterprise Institute.
    Sanders, A., Elangeswaran, C., & Wulfsberg, J. P. (2016). Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management (JIEM), 9(3), 811-833.
    Satoglu, S., Ustundag, A., Cevikcan, E., & Durmusoglu, M. B. (2018). Lean transformation integrated with Industry 4.0 implementation methodology. In Industrial Engineering in the Industry 4.0 Era (pp. 97-107): Springer.
    Shahin, M., Chen, F. F., Bouzary, H., & Krishnaiyer, K. (2020). Integration of Lean practices and Industry 4.0 technologies: smart manufacturing for next-generation enterprises. The International Journal of Advanced Manufacturing Technology, 1-10.
    Shimokawa, K., & Fujimoto, T. (2009). The Birth of Lean. Cambridge, MA: Lean Enterprise Institute.
    Smalley, A. (2004). Creating Level Pull. Cambridge, MA: Lean Enterprise Institute.
    Tortorella, G., Giglio, R., & van Dun, D. H. (2018). Industry 4.0 as a moderator on the relationship between lean and operational performance. Paper presented at the 25th International Annual EurOMA Conference: To serve, to produce and to servitize in the era of networks, big data and analytics.
    Umble, E. J., Haft, R. R., & Umble, M. M. (2003). Enterprise resource planning: Implementation procedures and critical success factors. European Journal of Operational Research, 146(2), 241-257.
    Wagner, T., Herrmann, C., & Thiede, S. (2017). Industry 4.0 impacts on lean production systems. Procedia Cirp, 63, 125-131.
    Womack, J. P., & Jones, D. T. (1996). Lean Thinking. New York, NY: Simon & Schuster.
    Womack, J. P., Jones, D. T., & Roos, D. (1990). The Machine that Changed the World. New York, NY: Simon and Schuster.
    Yeung, M. K. (2003). Intelligent process‐planning system or optimal CNC programming–a step towards complete automation of CNC programming. Integrated Manufacturing Systems.

    下載圖示 校內:立即公開
    校外:2021-01-01公開
    QR CODE