跨過千禧年進入二十一世紀即是網路世代，人類已經正式進入第四次工業革命，不同於前三次工業革命進行的同時人類對文明發展仍然可以駕馭控制，到了第四次工業革命的發展更是快速的令人感到對未來的不安與不確定性，人類對自動化與人工智慧機器人的發展可能會接管未來的一切的疑慮產生。在全球網路化漸進地改變人類生活模式，勢必改變產業生產製造模式與商業經營式。 物聯網是由感知層、網路層、應用層為架構組合，應用層可以適用於全球不同的領域，本研究著重於工業物聯網與工業4.0智慧製造應用的探討。工業物聯網與一般消費性物聯網最大的差別相互串連方式不同與要求較高的安全性及穩定性。工業物聯網是驅動工業4.0的核心技術，自2011年起德國提出工業4.0高科技計劃促使各國陸續跟進，最終以「智慧製造」定調為製造業的發展目標，設備供應商因應產業需求提供「智慧設備」以切入智慧製造，同時也將影響到設備產業的經營模式，設備產業如何運用工業物聯網創造出不同獲利的商業模式。 Bruce Sinclair (2017) 著作「IoT Inc.」中提到任何產品結合物聯網裝置可以產生不同經營型式的商業模式，並區分為五種商業模式：一、以銷售物聯網產品為主的「產品商業模式」；二、以銷售物聯網產品同時創造服務價值的「產品-服務商業模式」；三、純粹以提供物聯網產品服務的「服務商業模式」；四、提供銷售物聯網產品服務及共享結果產出的「服務-結果產出模式」；五、建立產業生態系統平台並且將客戶整合為生態系統之成員以共享總體結果產出利潤的「結果產出商業模式」。個案公司為設備整合製造供應商，產業跨足包括光電、半導體、太陽能、能源儲存…等產業，藉由本研究之五種商業模式為例加以分析應用，期望為個案公司及設備產業提供可運用的商業模式參考。 設備產業進入工業物聯網時代所創造的商業模式以「整合」為發展重點「技術」其次，主要原因在於物聯網裝置提供大量數據資料需要經過有系統的分析及專業的整理才能整合轉換為有效的管理資訊加以應用。整合工業物聯網產業生態系統平台必須循序漸進，先由「點」延伸至「線」再擴及到物聯網產業生態系統平台的「面」，因此經營工業物聯網設備需要領域知識豐富的顧問整合主導整體經營策略及方向。;After crossing the millennium and then entering the 21st century, World become Internet-generation and Human being has been launched the 4th Industrial-revolution officially. Different than the previous three revolutions, the 4th Industrial-revolution is not easily control and forecast the development result of science and technology. This revolution of global cyberization will changes of human life and then bound to change the industrial production including manufacturing mode and business operation mode. The IoT structure is including perception layer, network layer, and application layer. The application layer can be applied into different fields of the world. This paper focuses on the discussion about the application of IIoT (Industrial Internet of Things) and Industry 4.0 Smart Manufacturing. The biggest difference between IIoT and Consumer IoT is that IIoT request unique connection with each other and higher security and stability. It is the key-technology to drive Industry 4.0 development. Since 2011, Germany has been announced the Industry 4.0 high-tech plan and finally defined "smart manufacturing" as the development goal for manufacturing industry. Bruce Sinclair (2017) "IoT Inc." mentioned that any product combined with IoT devices can be generated different business models as: “Product business model”, “Product-Service business model”, “Service business model”, “Service-outcome business model” and “Outcome business model”. The Case Study of Corporation is a leading company of Equipment manufacturing for Display, Semiconductor, Solar fields and we expect to provide some suggestions for operation reference via this study. "Integration" is more important than "technology development" once Equipment Maker involve IIoT business model. Because it is necessary to make the systematic analysis of the big data collected from IoT devices then enable to apply into business operations. The integration of the IIoT industry ecosystem platform must proceed step by step, first extending from the "point" to the "line" and then expanding to the "plane" of the IoT industry ecosystem platform. Therefore, operating industrial IoT equipment requires field-consultants with domain knowledge to integrate and lead Overall business strategy and development direction.
