【正文】 Chen, 2021), resulting in inappropriate resource allocation to warehouse operations. Therefore, it is essential to implement realtime data management techniques for locating the resources accurately to support warehouse operations effectively. . Current realtime data management techniques for object location tracking There are several realtime data management techniques adopted for facilitating information sharing in the existing market. Some of the techniques are also capable of providing object location information. In the outdoor environment, the most well known technology adopted in location tracking is the global position system (GPS). It is a spacebased radionavigation system that uses 24 satellites orbiting around the Earth and receivers to locate objects, in terms of 5 height, longitude and latitude coordinates, on Earth (Posturing, Barrie, amp。 McGinnis, 2021). With such an arrangement, it is essential to handle the warehouse resources, such as stock keeping units (SKUs), pallets and racks, pallet trucks and forklifts, and warehouse staff members, efficiently and effectively in order to have smooth manufacturing operations, to reduce inventory, lower processing, storage, and transshipment costs, and increase productivity within facilities (Vogt et al., 2021). Within the chain, currently, warehouse management systems (WMSs) are adopted to handle the warehouse resources and operations. However, these systems are lacking in realtime information sharing ability as the data collection technique is either manualbased or barcode based. Therefore, WMSs are incapable of capturing realtime information or of visualizing the actual working status (Huang, Zhang, amp。 SimchiLevi, 2021). 4 Recent trends towards the management of logistics resources have the potential to minimize the impact of the physical dispersion of supply chain members. The objective of logistics resources management (LRM) is to determine the most effective approach for allocating the appropriate logistics resources to different logistics functions, facilitate information flow and share knowledge through a supply pipeline, provide feasible collaborative channels for supply chain partners to provide superior customer services (Ross, 2021). In LRM, five logistics operations areas are covered in a supply chain work. These are: (i) freight cost and service management, (ii) fleet management, (iii) load planning, (iv) routing and scheduling, and, (v) warehouse management (Poirier amp。 Lau, 2021). Therefore, it is essential to propose an intelligent system with realtime and automatic data retrieval features for solving material handling problems. Fig. 1 shows the mon problems which frequently occur in a warehouse due to human error and outofdate information. Based on the input of incorrect information in inventory level, warehouse capacity and storage location, inaccurate reports are generated from WMSs for warehouse staff members to make unreliable material handling solutions for managing the daily warehouse operations . 3 In this paper, a set of RFID reading performance tests is performed. The tags are placed in different positions and attached to different materials for evaluating the reading performance of the active and the passive RFID devices. Based on the test results, the efficient radio frequency cover ranges of the readers are examined and the most suitable locations for the installation of the RFID devices are determined. Besides, a RFID casebased logistics resource management system (RLRMS) is proposed to improve the efficiency and effectiveness of orderpicking operations in a warehouse by means of formulating a reliable RFID technology implementation plan. This will enable warehouse resources to be located on a realtime basis and instant material handling solutions will be suggested for handling the customer orders automatically. The feature of realtime and automatic data retrieval in the proposed system is support by the RFID technology, which also facilitates constructing an effective triangular localization scheme to determine the exact locations of warehouse resources. The collected data is then pared with the attributes stored in an embedded casebased engine to determine the appropriate material handling equipment to handle the orderpicking operations. Moreover, a material handling solution formulation model is constructed by mathematic algorithms to generate the shortest pickup sequence for the appropriate material handling equipment. In doing this, the objectives of maximizing the productivity of warehouse and minimizing the operation costs in a warehouse are achieved. 2. Literature review . Current approach in managing logistics resources According to (Kithara, 2021) and (Liu et al., 2021), a supply chain is a valuable information sharing channel among the suppliers, manufacturing and storage facilities, distributors and customers for facilitating the key business activities of the sale, production and delivery of a particular product. Thus, the main principle of supply chain management (SCM) is to integrate effectively the material flows and related information within the demand and supply processes (Soroor amp。 De Wit, 2021). Therefore, the fulfillment of customers’ demands with good quality products, on time product delivery and superior logistics services bees difficult to achieve. In general, enterprises have adopted different approaches for managing the supply chain activities which include material sourcing, production scheduling, warehousing and product distribution. Logistics resource management (LRM) is one of the approaches for managing the activities of the whole supply chain efficiently. It facilitates the allocation of logistics resources to appropriate logistics fun