進階搜尋


   電子論文尚未授權公開,紙本請查館藏目錄
(※如查詢不到或館藏狀況顯示「閉架不公開」,表示該本論文不在書庫,無法取用。)
系統識別號 U0026-2706201723213900
論文名稱(中文) 探討產品生命週期管理前期階段在工業4.0的關鍵要素之研究 -以光學產業為例
論文名稱(英文) A Study of Exploring Key Components for the Initial Stage of Product Lifecycle Management in Industry 4.0 -An Example of Optical Industry
校院名稱 成功大學
系所名稱(中) 工業與資訊管理學系碩士在職專班
系所名稱(英) Department of Industrial and Information Management (on the job class)
學年度 105
學期 2
出版年 106
研究生(中文) 吳菀玲
研究生(英文) Wan-Ling Wu
學號 R37041066
學位類別 碩士
語文別 中文
論文頁數 91頁
口試委員 指導教授-謝佩璇
口試委員-王惠嘉
口試委員-王逸琳
中文關鍵字 工業 4.0  產品生命週期管理  半結構式訪談  層級分析 
英文關鍵字 Industry 4.0  Product Lifecycle Management  Semi-structured interviews  Analytic Hierarchy Process 
學科別分類
中文摘要 工業 4.0 (Industry 4.0)是指要藉由物聯網(Internet of Thing, IoT)與雲端計算(Cloud Computing)建造網宇實體系統(Cyber-Physical System, CPS),以突破產品設計、製 造、物流、服務等單向的作業方式,而能透過資通技術大量的收產品資訊,立即分 析、判斷錯誤的發生,系統或相關人員可透過網路直接操作設備,針對目前現況做 及時調整。如此,可預想企業面臨智能製造與智能工廠,會需要越來越多的系統及 自動化設備,還有大量數據收集與分析,而這些資訊涵蓋了整個產品生命週期管理 (Product Lifecycle Management, PLM)的前期階段。傳統的系統,如供應鏈管理 (Supply Chain Management, SCM) 、客戶關係管理(Customer Relationship Management, CRM) 、企業資源規劃(Enterprise Resource Planning, ERP) 和製造執行系統 (Manufacturing Execution System, MES)等,已無法滿足未來的需求,發展新一代的系 統實在刻不容緩。
然而,產品生命週期有不同的階段與細部流程,工業 4.0 的系統應用概念仍尚未 明確,企業如何採用合適的系統架構值得探討。因此,本研究從文獻中彙整出工業 4.0 的管理要素,以及產品生命週期管理前期階段所涉及的管理系統,透過質性研究 的半結構式訪談,蒐集各界專家與相關人員意見,確認管理要素與管理系統在實務 中的應用,並以光學產業為例,使用量化研究的層級分析法,建立層級結構,並以 專家問卷,取得智能工廠關鍵管理要素與系統之間的權重值,探討適合企業的管理 模式與系統架構。
研究結果指出,光學產業的工業 4.0 智能工廠管理要素中最重要的是『生產過程 資訊』,其次是『生產品質數據』。因應工業 4.0 的智能工廠必要系統是『製造執行 系統』系統提供『產品設備參數』與『設備維護資訊』的管理;其次是『先進規劃 與排程系統』系統,提供『即時規劃與排程』與『設備維護資訊』管理。更多研究 結果的討論與建議,希望能提供企業進入工業 4.0 時代最佳的解決方案。
英文摘要 With the growth of Intelligent Manufacturing and Industry 4.0 of smart factories, it is expected that corporate will have increasing needs for systems and automatic devices, along with a significant demand for data collection and analysis, while such information covers the entire Beginning-of-Life (BOL) stage within Product Lifecycle Management (PLM). Traditional systems can no longer fulfill future needs. We have urgent needs for developing new systems. This research focuses on the management factors of Industry 4.0 and the management systems involved in the BOL stage of PLM. Taking the optical industry as an example, we will discuss the applicable management model and system architecture for corporate.
論文目次 摘要 I
Abstract II
誌謝 V
目錄 VI
表目錄 VIII
圖目錄 X

第一章 緒論
1.1 研究背景 1
1.2 研究動機與目的 6
1.3 研究範圍 7
1.4 研究流程 8

第二章 文獻探討
2.1 工業4.0 (Industry 4.0) 9
2.1.1 工業4.0主要訴求 10
2.1.2 工業4.0主要領域 13
2.1.3 智能工廠營運策略與挑戰 14
2.2 產品生命週期管理 (Product Lifecycle Management, PLM) 16
2.2.1 產品生命週期管理的背景 16
2.2.2 產品生命週期管理的應用 18
2.3 PLM智能工廠情境模擬 23
2.3.1 智能工廠PLM系統模組BOL階段 24
2.3.2 智能工廠PLM系統模組MOL階段 25
2.3.3 智能工廠PLM系統模組EOL階段 25
2.3.4 小結 26
2.4層級分析法(Analytic Hierarchy Process, AHP) 28
2.4.1 層級分析法的背景 28
2.4.2 層級分析法的建構要點 29

第三章 研究方法
3.1 研究情境 35
3.2 研究對象 36
3.3 資料蒐集與分析方法 36
3.3.1半結構式訪談(Semi-structured interviews) 36
3.3.2層級分析法(Analytic Hierarchy Process, AHP) 37

第四章 蒐集資料與分析
4.1 半結構式訪談 42
4.1.1 專家背景與訪談內容 42
4.1.2 訪談結果分析 44
4.2 層級分析法分析 46
4.2.1 問卷調查對象背景 47
4.2.2 第一階成對比較結果 48
4.2.3 第二階成對比較結果 49
4.2.4 層級分析結果 55

第五章 結論與建議
5.1 研究結論 58
5.2 學術貢獻 61
5.3 實務貢獻 62
5.4 未來研究 63

參考文獻
英文文獻 64
中文文獻 67

附錄
一、層級分析法問卷 68
參考文獻 英文文獻

Ameri, F., & Dutta, D. (2005). Product Lifecycle Management: Closing the Knowledge Loops. Computer-Aided Design and Applications, 2(5), pp. 577-590.

Aras. (2008). The PLM Value Framework. Retrieved from Aras: http://www.aras.com/resources/?type=Whitepaper

Blumenthal, A. L. (1997). The Process of Cognition. Englewood Cliffs: Prentice Hall.

Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape- An Industry 4.0 Perspective. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 8(1), pp. 37-44.

Brunelli, M. (2015). Introduction to the Analytic Hierarchy Process. Springer International Publishing.

Cao, H., Folan, P., Mascolo, J., & Browne, J. (2009). RFID in product lifecycle management: a case in the automotive industry. International Journal of Computer Integrated Manufacturing, 22(7), pp. 616-637.

Cao, Y., Wang, L., S., Kang, L., Li, C., S., & Guo, L. (2015). Study on machining service modes and resource selection strategies in cloud manufacturing. International Journal of Advanced Manufacturing Technology, 8(1-4), pp. 597-613.

Chen, S. L., Chen, Y. Y., & Hsu, C. (2014). A New Approach to Integrate Internet-of-Things and Software-as-a-Service Model for Logistic Systems: A Case Study. Sensors, 14(4), pp. 6144-6164.

Cimalore, C. (2013). Five ways manufacturers benefit from PLM. Retrieved from http://www.csemag.com/single-article/five-ways-manufacturers-benefit-from-plm/86a04e8370b304ac8b460fcbe4b09ae2.html

CIMdata. (2016). 2016 Market Analysis Report Series.

Dohrman, G. (2007). Seven steps to complete PLM. Retrieved from Machine Design: http://machinedesign.com/archive/seven-steps-complete-plm

Drath, R., & Horch, A. (2014). Industrie 4.0: Hit or Hype? IEEE Industrial Electronics Magazine, 8(2), pp. 56-58.

Drexl, A., Fleischmann, B., Günther, H.-O., Stadtler, H., & Tempelmeier, H. (1993). Konzeptionelle Grundlagen kapazitätsorientierter PPS-Systeme. Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel(315).

Fleischmann, B., & Meyr, H. (2003). Planning Hierarchy, Modeling and Advanced. Handbooks in Operations Research and Management Science, 11, pp. 455-523.

Goepel, K. D. (2013, June). Implementing the analytic hierarchy process as a standard method for multi-criteria decision making in corporate enterprises–a new AHP excel template with multiple inputs. n Proceedings of the international symposium on the analytic hierarchy process, pp. 1-10.

Group, B. A. (2016, 6). The Business Advantage Groups Worldwide CAD Trends 2016 Results. Retrieved from Catia community: http://www.catiacommunity.com/feature_full.php?read=1&cpfeatureid=116831&page=1

Hvolby, H.-H., & Steger-Jensen, K. (2010, 12). Technical and industrial issues of Advanced Planning and Scheduling (APS) systems. Computers in Industry, 61(9), pp. 845-851.

Jun, H. B., Shin, J. H., Kim, Y. S., Kiritsis, D., & Xirouchakis, P. (2009). A framework for RFID applications in product lifecycle management. International Journal of Computer Integrated Manufacturing, 22(7), pp. 595-615.

Jun, H. B., Shin, J. H., Kiritsis, D., & Xirouchakis, P. (2007). System architecture for closed-loop PLM. International Journal of Computer Integrated Manufacturing, 20(7), pp. 684-698.

Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. German: National Academy of Science and Engineering.

Kim, G. Y., Lee, J. Y., Kang, H. S., & Noh, S. D. (2010). Digital Factory Wizard: an integrated system for concurrent digital engineering in product lifecycle management. International Journal of Computer Integrated Manufacturing, 23(11), pp. 1028-1045.

Kung, L. C., & Chern, L. C. (2009, 9). Heuristic factory planning algorithm for advanced planning and scheduling. Computers & Operations Research, 36(9), pp. 2513-2530.

Lee, J. Y., Choi, S. S., Kim, G. Y., & Noh, S. D. (2011). Ubiquitous product life cycle management (u-PLM): a real-time and integrated engineering environment using ubiquitous technology in product life cycle management (PLM). International Journal of Computer Integrated Manufacturing, 24(7), pp. 627-649.

Li, J., Tao, F., Cheng, Y., & Zhao, L. (2015). Big Data in product lifecycle management. International Journal of Advanced Manufacturing Technology, 8(1-4), pp. 667-684.

Martin, J. (2015). Data, Data Everywhere. Mechanical engineering, 137(7), pp. 46-51.

Matsokis, A., & Kiritsis, D. (2010). Towards Sustainable Product Lifecycle Management Information Systems using Ontology-based solutions.

Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. Retrieved from http://faculty.winthrop.edu/domanm/csci411/Handouts/NIST.pdf

Miller, G. A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological review, 63(2), p. 81.

O'Marah, K., & Burkett, M. (2003). The Value of PLM and How To Get It. Retrieved from Gartner: https://www.gartner.com/doc/1344224?ref=SiteSearch&sthkw=simplified%20map%20of%20the%20individual%20applications%20that%20PLM%20comprises&fnl=search&srcId=1-3478922254

PLM Payback Schedule. (n.d.). Retrieved from Gartner: http://www.gartner.com/technology/home.jsp

Portnoy, A. (2008). Shortening product development with PLM. Connector Specifier, 24(5), pp. 11-13.

Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., de Amicis, R., & Vallarino, I. (2015). Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet. IEEE Computer Graphics and Applications, 35(2), pp. 26-40.

Product Lifecycle Management (PLM) Definition. (n.d.). Retrieved from CIMdata: http://www.cimdata.com/en/resources/about-plm

Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill.

Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European journal of operational research, 48(1), pp. 9-26.

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. Int. J. Services Sciences, 1(1), pp. 83-98.

Saaty, T. L., & Vargas, L. G. (2012). Models, methods, concepts & applications of the analytic hierarchy process (2nd ed., Vol. 175). Springer Science & Business Media.

Schrauf, S., & Berttram, P. (2016, 9). Industry 4.0: How digitization makes the supply chain more efficient, agile, and customer-focused. Retrieved from PwC: https://www.strategyand.pwc.com/reports/industry4.0

Smelík, L. (2014). PLM benefits become more accessible. Retrieved from Consulting-Specifying Engineer: http://www.csemag.com/single-article/plm-benefits-become-more-accessible/fec43a8aa54284a65938e2150d7f7bd6.html

Stark, J. (2015). Product lifecycle management. Springer International Publishing.

Tao, F., Zhang, L., Venkatesh, V. C., Luo, Y., & Cheng, Y. (2011). Cloud manufacturing: a computing and service-oriented manufacturing model. Proceedings of the Institution of Mechanical Engineers. Part B: Journal of Engineering Manufacture, 225(10), pp. 1969-1976.

Transparency Market Research. (2015, 5 12). Product Lifecycle Management (PLM) (By Component Type - Software, Services; By End-use - Automotive and Transportation, Aerospace and Defense, Industrial Machinery and Heavy Equipment, Electronics and Semiconductor, Energy and Utilities, Consumer Products and Retail, Medical Devices and Pharmaceutical, IT and Telecom, and Others) Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2015 - 2022. Retrieved 11 2016, from Transparency Market Research: http://www.transparencymarketresearch.com/product-lifecycle-management-market.html

Udo, G. G. (2000). Using analytic hierarchy process to analyze the information technology outsourcing decision. Industrial Management & Data Systems, 100(9), pp. 421-429.

Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), pp. 1-29.

Vidoni, M. C., & Vecchietti, A. R. (2015). A systemic approach to define and characterize Advanced Planning Systems (APS). Computers & Industrial Engineering, 90, pp. 326-338.

Wang, S. Y., Wan, J. F., Li, D., & Zhang, C. H. (2016, 7). Implementing Smart Factory of Industrie 4.0: An Outlook. International Journal of Distributed Sensor Networks, 12(1). doi:10.1155/2016/3159805

Waurzyniak, P. (2015). Redefining PLM. Advanced manufacturing, pp. 117-126.

What is PLM? (n.d.). Retrieved from PLM Technology Guide: http://plmtechnologyguide.com/site/?page_id=435

Wuest, T., Hribernik, K., & Thoben, K.-D. (2015). Accessing servitisation potential of PLM data by applying the product avatar concept. Production Planning & Control, 24(14-15), pp. 1198-1218.

Yue, X. J., Cai, H., Yan, H. H., Zou, C. F., & Zhou, K. L. (2015). Cloud-assisted industrial cyber-physical systems: An insight. Microprocessors and Microsystems, 39(8), pp. 1262-1270.

Zhang, Z., Liu, G., Jiang, Z., & Chen, Y. (2015). A Cloud-Based for Lean Maintenance, Repair, and Overhaul of Complex Equipment. Journal of Manufacturing Science and Engineering, 137(4). doi:10.1115 / 1.4030619

中文文獻
吳欣穎. (2016年10月). 三大痛點造就飛不起的物聯網. 卓越雜誌(366), 62-63.
卓越雜誌. (2016年10月). 摸石頭過河的物聯網. 卓越雜誌(366), 60-61.
邱莉燕. (2017年3月). 泰國4.0 未來20年錢潮都在這!. 遠見雜誌(369).
陳一姍, & 林庭仰. (2016年6月). 數字說英國-數位島國新典範. 天下雜誌, 70-71.
論文全文使用權限
  • 同意授權校內瀏覽/列印電子全文服務,於2024-07-01起公開。
  • 同意授權校外瀏覽/列印電子全文服務,於2024-07-01起公開。


  • 如您有疑問,請聯絡圖書館
    聯絡電話:(06)2757575#65773
    聯絡E-mail:etds@email.ncku.edu.tw