近年來因地球能源逐漸消耗殆盡以及人口紅利逐漸消退，導致工廠生產成本不斷提高並且缺工、缺人才等問題日益嚴重，讓世界各經濟強國不得不嚴肅面對此問題，而智慧工廠具有自主性、可預測性以及靈活性之優點，正是上述問題之最佳解決方案，智慧工廠是工業物聯網廣義架構下的應用方式之一，同時也是最具發展潛力的應用領域。物聯網閘道器又是發展工業物聯網及智慧工廠的關鍵設備，再者也因為工業物聯網之應用不斷發展與擴大，所以物聯網閘道器同時被賦予邊緣運算之功能，以解決網路頻寛以及計算延遲的問題。
本論文主要是探討閘道器於工業物聯網架構中之重要性，將以工業電腦產業及智慧工廠所需設備為主要的探討目標，本論文分別透過產業分析、SWOT分析以及BCG矩陣分析等方法，為個案公司進行全面性之策略分析，同時亦為個案公司進行財務及市場分析，用以瞭解個案公司之產品銷售地區及公司之財務狀況，最後以市場調查為基礎進行規格功能需求之分析，並以技術藍圖之型式為個案公司規劃下一世代之工業物聯網閘道器之發展，同時不再以硬體規格或是硬體功能做為產品發展重點，主要是針對不同產業及應用方式做為閘道器之發展方向。
本論文由外而內的產品規劃方式，可與市場需求緊密接軌，同時透過技術藍圖找出技術缺口及可用資源，以此為個案公司規劃長期之發展方向，預期本論文規劃之閘道器產品可成為個案公司新的成長引擎之一。

In recent years, due to gradual depletion of earth's energy and world population decline, factories face challenges such as increased production costs and shortage of labor and talents, issues that world’s economic powers have to deal with. Smart factory offers autonomy and advantages of predictability and flexibility which are the best solutions to the above problems. Smart factory is one of the solutions offered under the general structure of Industrial Internet of Things and also the application field with the most development potential. Internet of Things gateway is also a key device for the development of Industrial IoT and smart factories. Moreover, because application of Industrial Internet of Things continues to develop and expand, IoT gateway is a proven solution to solve network bandwidth and latency problems.
This essay mainly discusses the importance of gateway devices in the Industrial IoT architecture as the main objectives of the industrial computer industry and smart factory. It uses industry analysis, SWOT analysis and BCG matrix analysis to conduct a comprehensive strategic analysis of the companies and to conduct financial and market analysis for these companies to understand the product sales areas and the financial status of these company, and also to analyze specific function requirements based on market research. Companies should plan to develop next generation of Industrial IoT gateways with the help of T-Plan and at the same time, should not focus on hardware specifications or functions, but instead focus mainly on different industries and applications which is the development direction of the gateway.
This essay's external product planning approach can be closely aligned with market demand and also find out technical gaps through T-Plan and available resources which is the long-term development direction for the company planning. It is expected that gateway products planned in this essay will be one of the new growth engines for the company.

[1]. Advantech. (2017). Realizing Industry 4.0 with Advantech .
[2]. Advantech. (無日期). 研華官網. 擷取自 關於研華: https://www.advantech.tw/about
[3]. BI. (2016年10月18日). EDGE COMPUTING IN THE IoT: Forecasts, key benefits, and top industries adopting an analytics model that improves processing and cuts costs. 擷取自 Business Insider: https://www.businessinsider.com/edge-computing-in-the-iot-forecasts-key-benefits-and-top-industries-adopting-an-analytics-model-that-improves-processing-and-cuts-costs-2016-7
[4]. Hyoung Seok Kang, J. Y. (2016). Smart manufacturing: Past research, present findings, and future directions. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, pp. 111-128.
[5]. IHS. (2017). World Market Share Industrial PCs Estimates for IPCs, 2017 $ Revenue. IHS.
[6]. Lee, J. (2015). Smart Factory Systems. Informatik Spektrum.
[7]. Mckinsey&Company. (2015). THE INTERNET OF THINGS:MAPPING THE VALUE BEYOND THE HYPE. Mckinsey&Company.
[8]. Transparency Market Research . (2018年10月). Industrial PC Market Size, Share, Trends, Growth, Export Value, Shipment, Volume & Trade, Sales, Pricing Forecast. 擷取自 Transparency Market Research (TMR): https://www.transparencymarketresearch.com/pressrelease/industrial-pc-market.htm
[9]. Yu, W., Liang, F., He, X., Hatcher, W. G., Lu, C., Lin, J., & Yang, X. (2017, 10). A Survey on the Edge Computing for the Internet of Things. IEEE Access.
[10]. Zhong, C.-L., Zhu, Z., & Huang, R.-G. (2016, 3 10). Study on the IOT Architecture and Gateway Technology. IEEE.
[11]. 中華民國全國工業總會. (2018). 2018年全國工業總會白皮書——對政府政策的建言. 中華民國全國工業總會.
[12]. 行政院. (2015). 行政院生產力 4.0 發展方案.
[13]. 研華股份有限公司. (2017). 106年度年報. 台北市: 研華股份有限公司.
[14]. 研華股份有限公司. (2017). 合併財務報告暨會計師查核報告. 研華股份有限公司.
[15]. 張小玫. (2015年9月). Big Data從數據到決策. 擷取自 Research Portal 科技政策觀點: https://portal.stpi.narl.org.tw/index/article/10126
[16]. 張家維. (2018). 物聯網產業發展趨勢與機會. 產業情報研究所(MIC).
[17]. 許如欽. (2017). 做好策略規劃之SWOT定量化分析手法. 成大出版社.
[18]. 楊孟智. (2014). 以層級分析法探討工業電腦產品設計之關鍵因素. 台北市: 台灣科技大學EMBA.
[19]. 魏傳虔. (2018). 智慧製造趨勢下工業雲平台大廠策略. 產業情報研究所(MIC).