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題名 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.
作者 王秀雲
Wang, Hsiu-Yun
貢獻者 郭炳伸
Kuo, Bing-Shen
王秀雲
Wang, Hsiu-Yun
關鍵詞 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
日期 2019
上傳時間 1-Jul-2019 10:51:47 (UTC+8)
摘要 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.
參考文獻 (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.
描述 碩士
國立政治大學
經營管理碩士學程(EMBA)
105932056
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0105932056
資料類型 thesis
dc.contributor.advisor 郭炳伸zh_TW
dc.contributor.advisor Kuo, Bing-Shenen_US
dc.contributor.author (Authors) 王秀雲zh_TW
dc.contributor.author (Authors) Wang, Hsiu-Yunen_US
dc.creator (作者) 王秀雲zh_TW
dc.creator (作者) Wang, Hsiu-Yunen_US
dc.date (日期) 2019en_US
dc.date.accessioned 1-Jul-2019 10:51:47 (UTC+8)-
dc.date.available 1-Jul-2019 10:51:47 (UTC+8)-
dc.date.issued (上傳時間) 1-Jul-2019 10:51:47 (UTC+8)-
dc.identifier (Other Identifiers) G0105932056en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/124160-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 經營管理碩士學程(EMBA)zh_TW
dc.description (描述) 105932056zh_TW
dc.description.abstract (摘要) 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.
en_US
dc.description.tableofcontents 1. Introduction 8
1.1. Machine Vision Introduction 8
1.2. Machine Vision Application 10
1.3. Machine Vision Market 11
2. European Market and Analysis for Vision System Lighting 12
2.1. Machine Vision Lighting Characteristic 12
2.2. User Market in Europe 14
2.3. Quality Inspection 16
Source: Vision System Design Invalid source specified. 18
2.4. Sorting 18
2.5. Measurement and Positioning 20
2.6. Supplier Market in Europe 23
2.7. Market Analysis 24
2.7.1. Industry Rivalry 24
2.7.2. Threat of New Entrant 28
2.7.3. Bargaining Power of Suppliers 29
2.7.4. Threat from Substitutes 31
2.7.5. Bargaining Power of Buyers 31
3. Competition Analysis 33
3.1. KSJ Introduction 33
3.2. Competition Introduction 35
3.2.1. Japan 37
3.2.2. USA 39
3.2.3. Italian 39
3.2.4. Taiwan A 41
3.2.5. Taiwan B 42
3.2.6. China 44
3.3. Strength and Weakness and KSJ 46
4. Strategy Analysis 47
4.1. Brand Awareness 47
4.2. Innovation 49
4.3. Local Representation 51
4.4. Price 53
4.5. Product Quality 55
4.6. Scale 57
4.7. Willingness to Sell Abroad 59
4.8. Strategies 60
4.8.1. Strategy of Chinese 61
4.8.2. Strategy of Company A 62
4.8.3. Strategy of KSJ 63
4.9. Summary 67
5. Conclusion 69
References 71
zh_TW
dc.format.extent 1582855 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0105932056en_US
dc.subject (關鍵詞) 機器人視覺光源zh_TW
dc.subject (關鍵詞) 工業4.0zh_TW
dc.subject (關鍵詞) 人工智慧zh_TW
dc.subject (關鍵詞) 智慧製造zh_TW
dc.subject (關鍵詞) 機器人視覺zh_TW
dc.subject (關鍵詞) 智慧生產zh_TW
dc.subject (關鍵詞) Machine vision lightingen_US
dc.subject (關鍵詞) Industry 4.0en_US
dc.subject (關鍵詞) AIen_US
dc.subject (關鍵詞) Smart manufacturingen_US
dc.subject (關鍵詞) Machine visionen_US
dc.subject (關鍵詞) Smart productionen_US
dc.title (題名) 台灣機器人視覺光源市場進入策略-以鎂岳有限公司為例zh_TW
dc.title (題名) The penetration strategy of Taiwanese machine vision lighting – The case study of KSJ Co., Ltd.en_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) (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.
zh_TW
dc.identifier.doi (DOI) 10.6814/THE.NCCU.EMBA.086.2019.F08en_US