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姓名 李漢宇(Han-Yu Lee) 查詢紙本館藏 畢業系所 企業管理學系在職專班 論文名稱 電腦代工產業之生產效率改善—以C公司為研究對象 相關論文 檔案 [Endnote RIS 格式] [Bibtex 格式] [相關文章] [文章引用] [完整記錄] [館藏目錄] 至系統瀏覽論文 ( 永不開放) 摘要(中) 自疫情期間以來,居家辦公發展成企業的常態,個人筆記型電腦需求因此快速提升。需求快速提升導致電腦代工業勢必需要提高生產效率來因應市場之變化。而為了滿足上述提及之市場需求,C公司提出減少生產過程中的浪費之方式 : 利用六標準差工具找出影響生產效率原因,並結合C公司的系統DPM(Digital Performance Management)、MES(Manufacturing Execution System)和QMS(Quality Management System)利用智慧看板降低生產過程中所造成的浪費。
本研究旨在探討應用智慧看板於生產效率提升及生產線改善,並以C公司為研究對象,長期在電腦代工產業深耕研發與製造,成功在全球打出知名度,成為台灣前十大電腦代工產業。由於電腦代工的種類繁多,市場需求轉換快速,訂單模式呈現少量多樣,此模式導致生產線換線次數及生產中所造成的浪費增加,同時提高製造成本,迫切需智提升生產效率及減少浪費。
C公司利用智慧看板及改善專案,探討如何提高生產效率及減少生產中所產生的浪費,並達到提升生產效率的最大化。所得結論如下
智慧看板搭配Key Performance Indicators生產效率持續改善
生產線改善持續實施摘要(英) Since the COVID-19 epidemic, working from home has become the norm for enterprises, and the demand for personal laptops has increased rapidly. The rapid increase caused the manufacturing foundry industry inevitably need to improve production efficiency to respond to market changes. In order to meet the above-mentioned market demand, Company C proposed a way to reduce waste in the production process: use the Six Sigma tool to find out the reasons that affect production efficiency, and introduce the intelligent systems to reduce waste caused in the production process.
This study aims to explore the application of smart systems to improve production efficiency, and takes Company C as the research object. It has been deeply engaged in R&D and manufacturing in the ODM industry for a long time. Due to the wide variety of manufacturing OEMs, market demand changes rapidly, and order patterns are small but diverse. This pattern leads to an increase in the number of production line changes and waste caused in production, and at the same time increases manufacturing costs.
Company C uses smart signage to explore the method to reduce waste generated in production, and maximize production efficiency, with a view of expanding the results to the electronic manufacturing foundry industry. The conclusions drawn are as follows:
Smart signage with Key performance Indicators for continuous improvement
Continuous implementation of production line improvement關鍵字(中) ★ 智慧系統
★ 智慧看板
★ 生產效率
★ 智慧製造關鍵字(英) ★ Intelligent System
★ Intelligent Kanban
★ Production Efficiency
★ Intelligent Manufacturing論文目次 摘要………………………..………………………………………………….....…..i
ABSTRACT……………..……………………………………………….........….. i i
致謝………………………..………………………………………………....….. i i i
目錄………………………………………………………………………….....…..iv
表目錄………………………………………………………..…………………….vi
圖目錄……………………………………………..………………………………vii
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 3
1.4 研究範圍 4
1.5 論文架構 4
第二章 產業分析與文獻探討 6
2.1 製造代工產業發展 6
2.2 產業介紹 8
2.3 系統介紹 8
2.4 智慧看板系統介紹 11
2.4.1智慧看板歷史 13
2.4.2 MES系統的介紹 15
2.4.3 MES系統的歷史 15
2.3.4 MES系統與智慧看板結合的效益 17
第三章 個案公司介紹 19
3.1 個案公司介紹 19
3.2個案公司產品介紹 22
3.3 個案組織架構簡介 26
3.4 公司營運與管理 29
3.5個案生產流程 31
3.6未來挑戰 33
第四章 個案分析與討論 34
4.1 個案背景 34
4.2 六標準差分析(6 Sigma) 35
4.2.1 個案六標準差–找出浪費因子 36
4.3改善專案 37
4.3.1 MES結合智慧看板 37
4.3.2生產流程改善 43
第五章 結論與建議 46
5.1研究結論 46
5.2對個案公司的建議 47
5.3後續研究建議 48
參考文獻 49
中文文獻 49
英文文獻 50參考文獻 1. 思愛普介紹工業4.0定義(2024),取自
https://www.sap.com/taiwan/products/scm/industry-4-0/what-is-industry-4-0.html
2. 汪聖馨,(2023),智慧製造之APS牌程序統與系統模擬之整合方式之探討,元智大學工業工程與管理學系碩士論文。
3. 洪哲倫、張志宏、林宛儒(2019),工業4.0與智慧製造的關鍵技術:工業物聯網與人工智慧,科儀新知,221期,頁19-25。
4. 大野耐一 (1985),豐田生產系統與現場管理,林耀川、成玉山譯,台北市:中華企業管理中心。
5. 蔡佳臻(2023),越南台商評估工廠導入智慧製造的因素之研究,國立高雄應用大學行銷與流通管理系碩士論文。
6. Chien-Chao(2020),TPS精益生產之應用研究—以K公司為例.
7. 盧克明(2023,智慧製造背景下S自行車零部件公司的發展戰略研究,國立臺灣大學管理學院台大-復旦EMBA境外專班碩士論文。
8. 林奕安(2024,應用於智慧製造之自配置物聯網系統之設計與驗證,國立台灣大學工學院機械工程學研究所。
9. 賴秋元(2017,建立JIT智慧型生產排程系統,國立台灣大學工業工程與管理系EMBA班碩士學位論文。
10. 呂述雲(2017,應用ABC成本法於企業營運成本分析之研究–以HT電子製造代工公司為例,國立高雄應用科技大學工業工程與管理系碩士班。
11. 陳俊銘(2020,代工套牢台灣電腦代工廠商的發展與升級,國立政治大學科技管理與智慧財產研究所博士論文。
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https://doi.org/10.1108/17410380510627889指導教授 何應欽(Ying-Chin Ho) 審核日期 2024-7-25 推文 facebook plurk twitter funp google live udn HD myshare reddit netvibes friend youpush delicious baidu 網路書籤 Google bookmarks del.icio.us hemidemi myshare