Title

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

Translated Titles

A Study of Exploring Key Components for the Initial Stage of Product Lifecycle Management in Industry 4.0 -An Example of Optical Industry

Authors

吳菀玲

Key Words

工業 4.0 ; 產品生命週期管理 ; 半結構式訪談 ; 層級分析 ; Industry 4.0 ; Product Lifecycle Management ; Semi-structured interviews ; Analytic Hierarchy Process

PublicationName

成功大學工業與資訊管理學系碩士在職專班學位論文

Volume or Term/Year and Month of Publication

2017年

Academic Degree Category

碩士

Advisor

謝佩璇

Content Language

繁體中文

Chinese Abstract

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。

English Abstract

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.

Topic Category 管理學院 > 工業與資訊管理學系碩士在職專班
工程學 > 工程學總論
社會科學 > 管理學
Reference
  1. Ameri, F., & Dutta, D. (2005). Product Lifecycle Management: Closing the Knowledge Loops. Computer-Aided Design and Applications, 2(5), pp. 577-590.
    連結:
  2. Brunelli, M. (2015). Introduction to the Analytic Hierarchy Process. Springer International Publishing.
    連結:
  3. 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.
    連結:
  4. 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.
    連結:
  5. 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.
    連結:
  6. 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
    連結:
  7. Drath, R., & Horch, A. (2014). Industrie 4.0: Hit or Hype? IEEE Industrial Electronics Magazine, 8(2), pp. 56-58.
    連結:
  8. Fleischmann, B., & Meyr, H. (2003). Planning Hierarchy, Modeling and Advanced. Handbooks in Operations Research and Management Science, 11, pp. 455-523.
    連結:
  9. 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.
    連結:
  10. 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.
    連結:
  11. 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.
    連結:
  12. 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.
    連結:
  13. Martin, J. (2015). Data, Data Everywhere. Mechanical engineering, 137(7), pp. 46-51.
    連結:
  14. Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. Retrieved from http://faculty.winthrop.edu/domanm/csci411/Handouts/NIST.pdf
    連結:
  15. 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.
    連結:
  16. 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.
    連結:
  17. Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill.
    連結:
  18. Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European journal of operational research, 48(1), pp. 9-26.
    連結:
  19. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. Int. J. Services Sciences, 1(1), pp. 83-98.
    連結:
  20. Stark, J. (2015). Product lifecycle management. Springer International Publishing.
    連結:
  21. Udo, G. G. (2000). Using analytic hierarchy process to analyze the information technology outsourcing decision. Industrial Management & Data Systems, 100(9), pp. 421-429.
    連結:
  22. Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), pp. 1-29.
    連結:
  23. 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.
    連結:
  24. 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
    連結:
  25. Waurzyniak, P. (2015). Redefining PLM. Advanced manufacturing, pp. 117-126.
    連結:
  26. 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.
    連結:
  27. 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.
    連結:
  28. 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
    連結:
  29. 英文文獻
  30. Aras. (2008). The PLM Value Framework. Retrieved from Aras: http://www.aras.com/resources/?type=Whitepaper
  31. Blumenthal, A. L. (1997). The Process of Cognition. Englewood Cliffs: Prentice Hall.
  32. 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.
  33. CIMdata. (2016). 2016 Market Analysis Report Series.
  34. Dohrman, G. (2007). Seven steps to complete PLM. Retrieved from Machine Design: http://machinedesign.com/archive/seven-steps-complete-plm
  35. 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).
  36. 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.
  37. 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
  38. 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.
  39. 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.
  40. Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. German: National Academy of Science and Engineering.
  41. 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.
  42. Matsokis, A., & Kiritsis, D. (2010). Towards Sustainable Product Lifecycle Management Information Systems using Ontology-based solutions.
  43. 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
  44. PLM Payback Schedule. (n.d.). Retrieved from Gartner: http://www.gartner.com/technology/home.jsp
  45. Portnoy, A. (2008). Shortening product development with PLM. Connector Specifier, 24(5), pp. 11-13.
  46. Product Lifecycle Management (PLM) Definition. (n.d.). Retrieved from CIMdata: http://www.cimdata.com/en/resources/about-plm
  47. Saaty, T. L., & Vargas, L. G. (2012). Models, methods, concepts & applications of the analytic hierarchy process (2nd ed., Vol. 175). Springer Science & Business Media.
  48. 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
  49. 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
  50. 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.
  51. 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
  52. What is PLM? (n.d.). Retrieved from PLM Technology Guide: http://plmtechnologyguide.com/site/?page_id=435
  53. 中文文獻
  54. 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.
  55. 卓越雜誌. (2016年10月). 摸石頭過河的物聯網. 卓越雜誌(366), 60-61.
  56. 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).
  57. 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.