光電產業製造執行系統採用雲端運算提昇效能之設計與探討

Design and Performance Discussion about Manufacturing Execution System (MES) of Electro-Optical Industry Based on Cloud Computing Technology

陳志達

製造執行系統 ； 雲端運算 ； Manufacturing Execution System ； Cloud Computing ； Windows Azure

資訊與管理科學

7卷1期（2014 / 06 / 30）

30 - 45

繁體中文

目前光電產業相關生產製程技術提昇以及各整體產業領域的競爭環境下，現今企業除了將面臨生產的技術以及良率提升外更需要生產資訊的整合與生產系統處理資訊的效率以及準確性，以便即時回應相關企業的決策速度，在此生產資訊的流通與快速回應就更顯重要，雲端運算（Cloud Computing）在現今的資訊領域中已經是越來越受重視的平台，除了可以提高資訊的處理速度，也可以降低企業的硬體建置、維護還有相關人員成本，本文主要是要探討如何使用雲端運算來改善目前光電產業所使用的製造執行系統（Manufacturing Execution System）的即時數據的分析運算，目前系統因為有礙與生產數據太多龐大，導致目前現有傳統的硬體架構處理上的困難，本研究將討論以及規劃設計現有的MES架構如何搭配雲端進行運作，本論文設計的架構會利用Windows Azure架構來測試以及證明雲端運算的可行性。

At present, Optoelectronics Industry is correlated to the promotion of Manufacturing Process of Production/ Production Processing Technology and the environment of the whole industrial competitions. Currently, in addition to confront the production technology and the promotion of the yield rate, the enterprise needs more integrations in the production information as well as the efficiency and accuracy on the information of the processing production system - for responding the related enterprise's decision-making speed instantly. Therefore, it is essential to have great circulation and rapid response in the production information. Cloud Computing has become more and more valued in present information field/ realm of information. Besides enhancing the processing speed of the information, Could Computing can also reducing the hardware establishment, maintenance, and labor costs in the enterprise. Mainly, this text is for exploring how to improve the real-time date operational analysis in the current Optoelectronics Industry's usage on Manufacturing Execution System by using Cloud Computing. Due to the enormous date at present system, this leads to the difficulties in the existing traditional hardware structure and hardware construction processing. This study will discuss and design the existing architecture with Cloud Computing; this design will use Windows Azure for testing and proving the feasibility of Cloud Computing.

1. Microsoft，Windows MSDN Azure 服務平台官方網站，http://msdn.microsoft.com/zh-tw/windowsazure/ee939353.aspx。
2. IBM, (2013), The Big Data & Analytics Hub, IBM, http://www.2.com/infographic/four-vs-big-data.
3. NetAdmin，(2012)，認識雲端運算架構與框架，http://www.netadmin.com.tw/article_content.aspx?sn=1201310001，頁 60-90。
4. Microsoft，Windows Azure 網站服務入門，http://www.microsoftvirtualacademy.com/training-courses/windows-azure-websites-jumpstart#fbid=Q7K7nJdpDcq。
5. Barney , J.(1991).Firm resources and sustained Competitive advantage.Journal of Management,171,99-120.
6. DuBois, L.(2012).Enabling Storage Automation for Cloud Computing.IDC.
7. Gong, C.,Liu, J.,Zhang, Q.,Chen, H.,Gong, Z.(2010).The Characteristics of Cloud Computing.391h iEEE international Conference on Parallel Processing Workshops 2010
8. Hassan, Samah Ahmed Zaki(2012).A Proposed Architecture for Cloud Computing Applications.Proceedings of 2012 1ntemational of Cloud Computing, Technologies Applications & Management
9. IDC(2012).,IDC.
10. Islam, Sikder Sunbeam,Mollah, Muhammad Baqer,Huq, Md. Imanul,Ullah, Md. Aman(2012).Cloud Computing for Future Generation of Computing Technology.Proceedings of the 2012 IEEE International Conference on Cyber Technology in Automation
11. Lynch, Merrill(2012).Big Data II: New Themes, New Opportunities.BofA Merrill Lynch.
12. Zhao, Wei,Peng, Yong,Xie, Feng,Dai, Zhonghua(2012).Modeling and Simulation of Cloud Computing: A Review.2012 IEEE Asia Pacific Cloud Computing Congress
13. Zheng, Zibin,Zhu, Jieming,Lyu, Michael R.(2010).Service-generated Big Data and Big Data-as-a-Service: An Overview.2010 IEEE International Congress on Big Data
14. Zhou, Bing-hai,Wang, Shi-jin,Xi, Li-feng(2004).Data model design for manufacturing execution system.Journal of Manufacturing Technology Management,16(8),935-990.
15. 林俊煌(2010)。碩士論文(碩士論文)。國立中山大學資訊管理研究所。
16. 林德垣(2013)。碩士論文(碩士論文)。國立臺灣大學資訊網路與多媒體研究所。
17. 金純瑩(2010)。碩士論文(碩士論文)。中華大學資訊管理研究所。
18. 梅永盛(2010)。碩士論文(碩士論文)。國立中興大學資訊管理學系。
19. 黃茹鈺(2009)。碩士論文(碩士論文)。逄甲大學經營管理在職專班研究所。
20. 劉志成(2011)。碩士論文(碩士論文)。國立中山大學資訊管理研究所。

1. 陳振東、洪偉展、林冠宏(2017)。企業採用雲端運算服務之影響因素的評估研究。臺灣企業績效學刊，10(2)，105-131。