RFID is an emerging technology and effectively applied to different sectors like retail warehouses, manufacturing, supply chain management, health care applications and wall-mart. Specifically in the area of supply chain management. RFID techniques are very useful. On the other hand, the quantity of RFID data in such an environment is very large. Thus more computation and time is needed to take out valuable information from RFID data storage for the process of object tracking in the supply chain management. Therefore, this research work focuses on the indexing of the huge amount of RFID tag data query retrieval. Here, the R+ tree indexing technique is introduced to prompt the RFID data retrieval from the RFID data warehouse. This technique consists of the root node, intermediate and leaf node. Each leaf node is formed in the form of Minimum Bounding Rectangle (MBR) that includes data object and its value. Also leaf node stores the minimum bounding rectangle    ore the actual RFID data object. At last, our proposed indexing technique is conducted with various experiments to prove their effective and efficient.

Keywords: Data Storage Management; Indexing; Query Processing; R+ Tree; RFID Technology