Abstract: Under the impetus of smart manufacturing in Industry 4.0 and the human-centric ideology of Industry 5.0, there is an increasingly urgent demand in the discrete manufacturing industry to utilize precise spatial-temporal information of people, machines, and materials in the production process to enhance workshop logistics management. However, how to accurately locate production resources in real-time within the complex workshop environment, and how to use spatial-temporal data to enable intelligent services in logistics operations for cost reduction and efficiency improvement, pose significant challenges for enterprises. After analyzing the requirements of logistics management and control in discrete manufacturing and the potential role of spatial-temporal data, a framework of intelligent control system for workshop logistics driven by indoor positioning technology is proposed. This framework combines Industrial Internet of Things (IIoT), cloud computing, digital twin (DT) and artificial intelligence (AI) technologies to provide location-based intelligent services for various personnel in logistics operations. In response to the complicated workshop environment, a Cell Recognization Indoor Localization Algorithm (CRILA) that integrates Bluetooth Low Energy (BLE) and Ultra-Wideband (UWB) technologies is proposed, which can sense environmental changes and adapt on its own online, thus achieving timely high-precision and high-stability positioning. The overall scheme also has the advantages of low cost, easy deployment, and strong scalability. Finally, the proposed system framework and algorithm were developed and validated in the mainframe production workshop of a computer manufacturer.