政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/124160

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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/124160

Title:	台灣機器人視覺光源市場進入策略-以鎂岳有限公司為例 The penetration strategy of Taiwanese machine vision lighting – The case study of KSJ Co., Ltd.
Authors:	王秀雲 Wang, Hsiu-Yun
Contributors:	郭炳伸 Kuo, Bing-Shen 王秀雲 Wang, Hsiu-Yun
Keywords:	機器人視覺光源工業4.0 人工智慧智慧製造機器人視覺智慧生產 Machine vision lighting Industry 4.0 AI Smart manufacturing Machine vision Smart production
Date:	2019
Issue Date:	2019-07-01 10:51:47 (UTC+8)
Abstract:	The thesis focus on analysis of machine vision lighting industry in Europe and the market penetration for a selected new comer to this market. How to penetrate the market safely when facing the multinational giants that has permanent establishment in Europe for many years. Who are the old players in the market, who will be the new players, and how will they survive peacefully in this new battle ground will be illustrated in this thesis. The method adopted will be the five force analysis from the famous Michael Porter (Porter) to find out on the market penetration chances for old and new players, radar chart analysis for each of the major competition identified in this thesis, and SWOT analysis for the final strategy selection. Some study has indicated Europe being the world’s second largest machine vision market after the ASEAN market by 2022, but no further information was released on the supplier side. The machine vision lighting application is new in the European market and thus very little study can be found and almost no study dedicated to the machine vision lighting industry can be found, but through this study we will be able to see clearer the market situation in Europe, and the competition landscape to allow small or new players who intend to enter the market a sneak peek into this new battle field. This thesis will select a machine vision lighting company as the subject of study in order to understand the market, and how a small to mid-size supplier can successfully penetrate and survive in this market.
Reference:	(n.d.). Retrieved from Boston Dynamics: https://www.bostondynamics.com/ Carrol, J. (2018). Deploying Machine Vsion for Foods and Beverages. VISION System Design. Corey Protin, D. W. (2017). We went inside an Amazon warehouse on Cyber Monday. Business Insider. Cree Inc. (1989). Retrieved from First Blue LED in the world: https://www.cree.com/about/history-and-milestones Franzosa, R. (2017). Automotive Context for Manufacturing Execution Systems. Gartner. Inc., C. (n.d.). Cree. Retrieved from Cree: https://www.cree.com/about/history-and-milestones Isidore, C. (2019, March 5). Tech. Retrieved from CNN Business: https://edition.cnn.com/2019/03/05/tech/tesla-store-closings/index.html Jacques Bughin, J. S. (2019). Notes from the AI Frontier - Tackling Europe`s Gap in Digital and AI. https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Artificial%20Intelligence/Tackling%20Europes%20gap%20in%20digital%20and%20AI/MGI-Tackling-Europes-gap-in-digital-and-AI-Feb-2019-vF.ashx: McKinsey&Compay. (2017). Machine Vision Market Research Report- Global Forecast 2022. Future Market Research. Porter, M. E. (n.d.). In M. E. Porter, Competitive Forces: Understand competitive forces and stay ahead of competition (Management & Marketing Book 1). Sheldon, M. (2016). Vision System Inspection Automated Fabric System. Vision System Design. Unknown. (2017). Packaging Automation: Vision system helps sort, orient and collate mixed product. VISION System Design. Wilson, A. (2017). High-speed vision checks food cans concisely. VISION System Design. Wilson, A. (2018). Robot-carried vision system inspects engine block surfaces. VISION System Design.
Description:	碩士國立政治大學經營管理碩士學程(EMBA) 105932056
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0105932056
Data Type:	thesis
DOI:	10.6814/THE.NCCU.EMBA.086.2019.F08
Appears in Collections:	[Executive Master of Business Administration] Theses

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