Abstract: Driven by smart manufacturing in Industry 4.0 and the human-centric philosophy 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, key challenges remain in accurately locating production resources in real-time and complex workshop environment, and utilizing spatial-temporal data to provide intelligent services in logistics operations for cost reduction and efficiency improvement. This paper analyzes the practical demand of logistics management in discrete manufacturing and explores the potential value of spatial-temporal data. Based on it, a framework of intelligent logistics management system driven by the indoor positioning technology is proposed. This framework combines the industrial internet of things (IIoT), cloud computing, digital twins (DT) and artificial intelligence (AI) to provide location-based intelligent services for various personnel in logistics operations. To accommodate complex workshop environment, a cell recognition indoor localization algorithm (CRILA) that integrates bluetooth low energy (BLE) and ultra-wideband (UWB) technologies is proposed, which can sense environmental changes and update positioning models online adaptively. It enables real-time positioning with high accuracy and stability, while also offering advantages of low cost, easy deployment, and strong scalability. Finally, the proposed system framework and algorithm are developed and validated in the mainframe production workshop of a computer manufacturer.