隨著工業4.0的時代來臨，雲端運算、物聯網(IoT)等技術被運用在生產上，這些新的科技連繫實體與數位、促進良好協作，使得人員便於取得跨部門、合作夥伴、廠商及產品等資料，這也使得智能工廠的概念因應而生。智能工廠強調的是藉助物聯網帶來的互聯性、對實時數據的獲取能力，以及引入虛實整合系統（Cyber-Physical System, CPS），使機器能夠相互通信並相互協商，根據不斷變化的系統動態重新配置所需的資源。讓生產變得更快速、精準、聰明。
現今地球環境中的石油能源因人為的開採及使用，存量正在逐漸減少中，迫使人類開始尋找各種替代能源，例如液化石油氣、乙醇汽油等，而其中又以電能為最佳的替代方案，因其可完全擺脫燃料的限制。2008年Tesla推出第一輛使用鋰電池的純電動車，全球電動汽車市場規模日益擴大。截至2020年全球累計已超過1000萬輛電動車（含油電混合車，不包括機車），已連續兩年增長4成，佔全部四輪車輛的1%(International Energy Agency,《World Energy Outlook 2020》)。
本研究利用整合資訊架構(Architecture of Integrated Information System, ARIS)對電動車製造商之智能化生產流程進行建模分析，將CPS導入原電動車生產流程中，使得新的生產流程更易了解，再使用統一塑模語言(Unified Modeling Language, UML) 建模出各類視圖，藉此可以更視覺化的了解不同視圖中所要達成的目標，以讓流程中各部門的成員們在溝通協調彼此所進行的業務時更為順暢，減少溝通所需的時間以及溝通錯誤所造成的各種浪費(材料、機器、人工、不良品...等)，進而提升生產效率。

With the advent of the era of Industry 4.0, technologies such as cloud computing and the Internet of Things (IoT) are used in production. These new technologies connect physical and digital, promote good collaboration, and make it easy for personnel to obtain cross-department, partners, manufacturers and Products and other materials, which also makes the concept of smart factory born. The smart factory emphasizes the interconnectivity brought by the Internet of Things, the ability to obtain real-time data, and the introduction of the Cyber-Physical System (CPS), which enables machines to communicate and negotiate with each other, according to the changing system dynamics. Reconfigure the required resources. Make production faster, more precise and smarter.
This study uses the Architecture of Integrated Information System (ARIS) to model and analyze the intelligent production process of electric vehicle manufacturers, and import CPS into the original electric vehicle production process, making the new production process easier to understand and reuse. Unified Modeling Language (UML) models various views, so that the goals to be achieved in different views can be more visually understood, so that members of various departments in the process can communicate and coordinate with each other. The business is smoother, reducing the time required for communication and various wastes caused by communication errors (materials, machines, labor, defective products, etc.), thereby improving production efficiency.

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