工業4.0背景下，「智慧工廠」一詞應運而生，製造業無不升級轉型，使用大數據與人工智慧輔助企業軟體、硬體、機台至資訊整合平台，要實踐上述情境，企業勢必將針對廠區環境進行聯網化管理，獲取大量製造數據。並進而利用雲端運算，將其分析為有用資訊，最終結合虛實整合系統達成高協同性之決策輔助。
為使廠區系統有效認知特定人員並予以關鍵資訊，人員位置資料之獲取為必要條件，然而現今面向製造現場之資訊系統，即製造執行系統(Manufacturing Execution System, MES)，於廠區人員管理輔助甚少，亦無法提供人員位置資訊，MES作為企業資訊系統之信息集線器（Information Hub），若能有效獲區人員位置信息，可輔助廠區系統感知人員位置與身分，發展CPS之人機協同概念，是為製造業邁向工業4.0關鍵之一。
隨著物聯網與雲端計算的崛起，無線感知技術於廠區應用變為可靠，廠區元件及人員之定位追蹤亦成為可能，本研究即針對廠區人員定位提出一包含物聯網基底、私有雲雲端架構至應用定位整合系統之聯網化廠區環境建置方法，並使用藍芽4.0新興技術，即低功耗藍芽(Bluetooth Low Energy, BLE)進行實作，規劃廠區人員分區標識定位技術與發展定位聯網管理系統，除應用系統之建置測試外，本研究亦對人員定位於生產製造之相關效益進行探討，作為企業升級「智慧工廠」之人員管理發展藍圖。

To enhance industrial competitiveness and increase productivity, every country has strived to create a smart factory by introducing technologies such as Internet of Things, big data and artificial intelligence into production line and build cyber-physical system for the purpose of promoting manufacturing efficiency. For mission assignment, production line management or manufacturing field analysis, the location information of employee, machine and material is very essential. To promote manufacturing efficiency, of course, the location information became more important.
A Bluetooth low energy (BLE) positioning system for the manufacturing is developed in this research. A "Sensor tracking" mechanism is addressed and adopted, which uses Beacon to catch the location information and a BLE receiver is also used to receive the broadcasting information from Beacon.
The position information from the BLE receiver will be compared with the data in the database for calculating the location of the target. The status of the target may also be obtained by using the data from the BLE receiver. Comparing with the mobile device, this method can reduce energy consumption and make the maintenance simple and easy.
In this research, a system based on cloud computing for testing BLE positioning is implemented. This system can individed into three parts (Internet of Things based on BLE, Cloud Computing and Website). With the Internet of Things (IoT), cloud computing system can utilize indoor positioning technique to exactly catch the location of each employee.
Finally, several of real applications of employee positioning for manufacturing are discussed. Although, these applications of BLE mainly focus on the employee management in this paper. We considered that it would also do an excellent job in manufacturing logistics or other topics. BLE has numerous potential and it will be the top technology in manufacture industry in the future.

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