應用群組技術結合雲端伺服器與ARIS平台於雲端製程

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：7

、訪客IP：3.133.119.66

姓名

廖悅婷(Yueh-ting Liao) 查詢紙本館藏

畢業系所

工業管理研究所

論文名稱

應用群組技術結合雲端伺服器與ARIS平台於雲端製程
(Applying Group Technology, Cloud Server and ARIS Platform for Demonstrating Cloud Manufacturing)

相關論文

★ 應用MFM 與PPM 監控協同設計之執行流程	★ 應用DSM與DRFT於汽車電子之協同開發流程
★ 一協同設計專案團隊組成方法- 以安全監視器產品為例	★ 應用認知工程開發全球化光纖通訊系統
★ 羽絨產業策略規劃-應用品質機能展開分析法	★ 重電業協同專案管理績效之研究-以變電所統包工程為例
★ 以屬性導向新產品開發之流程塑模與分析– 以醫療器材產業為案例	★ 以品質機能展開法應用於主管管理職能之建構
★ 應用參考模型以及流程建模改善供應鏈績效-以投影機產業為例	★ 協同產品開發之流程管理 - 以汽車零件為例
★ 配電系統之高壓電纜接頭供應商評選	★ 應用品質機能展開於產品開發之流程分析-以刀鋒式伺服器為例
★ 實施精實六標準差改進製程良率－以機頂盒表面黏著技術為例	★ 太陽能模組產業之決策營運研究
★ 新產品開發階段導入替代料之流程建模及潛在風險分析	★ 應用實驗設計研發PET複合膜及改善厚膜翹曲問題

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]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

架構於網際網路以及應用各種資訊科技，雲端運算(Cloud Computing)提供網路世界虛擬化資源、動態性擴充與延展功能、以及創新的應用與服務。近年來，製造業企圖利用雲端架構，促成營運的「雲端化」，並藉由雲端伺服器與合作廠商共享資料，因此有助於產品協同開發、製程管理、以及加值服務。
針對雲端製造(Cloud Manufacturing)，本研究應用群組技術(Group Technology)設計物料分類以及資料編碼系統，使得上下游廠商能共用原物料與產品的資料。再則，應用流程分析法ARIS設計廠商之間的交易流程以建構整合式交易平台，並結合雲端伺服器監控雲端資料庫。整合資料編碼系統、雲端伺服器以及交易平台能夠強化廠商之間協同合作的安全性，並且增加因應突發事件作的彈性能力與反應效率。
近年來，節能與保健的意識日增，自行車因此廣受歡迎。本研究以電動自行車產業為例，展示在雲端製造環境中，如何應用群組技術、雲端伺服器以及ARIS設計合作廠商與客戶共用的資料編碼系統與資料庫儲存以及交易平台。

摘要(英)

Built upon the Internet and enabled with various information technologies, Cloud Computing provides the networked earth with virtualized resources, dynamic expandability and scalability, and innovative applications and services. In recent years, manufacturing industries attempt to utilize the cloud infrastructure for their business needs. Thus, trading partners are able to share information through cloud server for collaborative product development, manufacturing process management, and value-added services.
Focusing on Cloud Manufacturing, this study applies Group Technology to build the material classification and coding system to facilitate data sharing among business partners. Furthermore, a business process modeling methodology, ARIS, is adopted to design the inter-organizational business processes for developing integrated trading platform and connect with cloud server to monitor database. With the coding system, cloud server and integrated trading platform, trading partners are thus able to enhance their security for collaboration and flexibility and reacting effectiveness to respond to unexpected events.
Lately, owing to the awareness of energy conservation and personal health, biking has become increasingly popular. This study will take electric bicycle industry as an example to demonstrate the applications of Group Technology, cloud server and ARIS to design the product coding system, database storage and integrated trading platform in the cloud manufacturing environment.

關鍵字(中)

★ 雲端製造
★ 雲端伺服器
★ 資料編碼
★ 群組技術
★ 交易平台
★ ARIS
★ 電動自行車產業

關鍵字(英)

★ Cloud Manufacturing
★ Cloud server
★ data encoding
★ Group Technology
★ trading platform
★ ARIS (Architecture of Integrated Information Systems)
★ electric bicycle industry

論文目次

摘要 i
ABSTRACT ii
誌謝 iii
Table of Content iv
List of Figures v
List of Tables vi
Chapter 1 Introduction 1
1-1 Background 1
1-2 Motivation 2
1-3 Objective 3
1-4 Thesis Organization 3
Chapter 2 Literature Review 5
2-1 Cloud Manufacturing 5
2-1-1 Collaborative Design 8
2-1-2 Distributed Manufacturing 9
2-1-3 Knowledge Base Management Systems 10
Chapter 3 Research Methodology 12
3-1 Overview 12
3-2 Methodology Framework 14
3-3 Application 15
3-3-1 Group Technology 15
3-3-2 Cellular Manufacturing 17
3-3-3 ARIS platform 18
Chapter 4 Methodology Demonstration 25
4-1 Case Description for Electric Bike Industry 25
4-2 Demonstration 26
Chapter 5 Conclusion 42
5-1 Conclusion 42
5-2 Future Research 43
Reference 44

參考文獻

[1] Zhang, L., Guo, H., Tao, F., Luo, Y. L., & Si, N., “Flexible management of resource service composition in cloud manufacturing”, In Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on, pp.2278-2282, 2010.
[2] Li, B. H., Zhang, L., Wang, S. L., Tao, F., Cao, J. W., Jiang, X. D., Song, X., & Chai, X. D., “Cloud manufacturing: a new service-oriented networked manufacturing model”, Computer Integrated Manufacturing Systems, 2010.
[3] Hu, C. S., Xu, C. D., Cao, X. B., & Fu, J. C., “Study of classification and modeling of virtual resources in Cloud manufacturing”, Applied Mechanics and Materials, Vol 121, pp.2274-2280, 2012.
[4] Tao, F., Zhang, L., Venkatesh, V. C., Luo, Y., & Cheng, Y., “Cloud manufacturing: a computing and service-oriented manufacturing model”, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol 225, Iss 10, pp.1969-1976, 2011.
[5] Pallis, G., “Cloud Computing: The New Frontier of Internet Computing”, IEEE Internet Computing, Vol 14, Iss 5, 2010.
[6] Xu, X., “From cloud computing to cloud manufacturing”, Robotics and computer-integrated manufacturing, Vol 28, Iss 1, pp.75-86, 2012.
[7] Wall, J. A., & Callister, R. R. , “Conflict and its management”, Journal of management, Vol 21, Iss 3, pp.515-558, 1995.
[8] Fischer, G., “Social creativity: turning barriers into opportunities for collaborative design”, Proceedings of the eighth conference on Participatory design: Artful integration: interweaving media, materials and practices - Volume 1, pp.152-161, 2004.
[9] Gero, J. S. (Ed.), Design Computing and Cognition’10, Springer, 2011.
[10] Luo, Y., Cooperative Design, Visualization, and Engineering, Springer, 2004.
[11] Kühnle, H., Distributed Manufacturing, Springer, London, 2010.
[12] Nylund, H., & Andersson, P. H., “Simulation of service-oriented and distributed manufacturing systems”, Robotics and computer-integrated manufacturing, Vol 26, Iss 6, pp.622-628, 2010.
[13] Tao, F., Hu, Y. F., & Zhang, L., Theory and practice: optimal resource service allocation in manufacturing grid, Beijing: China Machine Press, 2010.
[14] Lee, M. C., “The combination of knowledge management and data mining with knowledge warehouse”, IJACT: International Journal of Advancements in Computing Technology, Vol 1, Iss 1, pp.39-45, 2009.
[15] Halevi, G., & Wang, K., “Knowledge based manufacturing system (KBMS)”, Journal of Intelligent Manufacturing, Vol 18, Iss4, pp.467-474, 2007.
[16] Luo, Y. L., Zhang, L., He, D. J., Ren, L., & Tao, F., “Study on multi-view model for cloud manufacturing”, Advanced Materials Research, Vol 201, pp. 685-688, 2011.
[17] Zhang, L., Luo, Y., Tao, F., Li, B. H., Ren, L., Zhang, X., Guo, H., Cheng, Y., Hu, A., & Liu, Y., “Cloud manufacturing: a new manufacturing paradigm”, Enterprise Information Systems, pp.1-21, 2012.
[18] Opitz, H., & Wiendahl, H. P., “Group technology and manufacturing systems for small and medium quantity production”, International Journal of Production Research, Vol 9, Iss 1, pp. 181-203, 1971.
[19] Mahdavi, I., Paydar, M. M., Solimanpur, M., & Heidarzade, A., “Genetic algorithm approach for solving a cell formation problem in cellular manufacturing”, Expert Systems with Applications, Vol 36, Iss3, pp.6598-6604, 2009.
[20] Ahkioon, S., Bulgak, A. A., & Bektas, T., “Cellular manufacturing systems design with routing flexibility, machine procurement, production planning and dynamic system reconfiguration”, International Journal of Production Research, Vol 47, Iss 6, pp.1573-1600, 2009.
[21] Heragu, S. S., “Group Technology and Cellular Manufacturing”, IEEE Transactions on Systems, Man, and Cybernetics, Vol 24, Iss 2, pp. 203-215, 1994.
[22] Scheer, A. W., & Nüttgens, M., ARIS architecture and reference models for business process management, Springer, Berlin Heidelberg, 2000.
[23] Bernus, P., Mertins, K., & Schmidt, G., Handbook on architectures of information systems, Springer, 2006.
[24] Teorey, T. J., Lightstone, S. S., Nadeau, T., & Jagadish, H. V., Database modeling and design: Logical design, Elsevier, 2011.
[25] Scheer, A. W., Thomas, O., & Adam, O., “Process modeling using event-driven process chains”, Process-Aware Information Systems, pp. 119-146, 2005.
[26] Gross, A., & Doerr, J., “EPC vs. UML activity diagram-two experiments examining their usefulness for requirements engineering”, Requirements Engineering Conference, 2009. RE′09. 17th IEEE International, pp.47-56, 2009.

指導教授

高信培(Hsing-pei Kao)

審核日期

2014-7-15

推文