Friday, July 16, 2010

Integrating and Leverage Automatic Sensing and Identification Technologies

SAP Auto-ID Infrastructure

SAP Auto-ID Infrastructure gives you the capabilities you need to integrate all automated communication and sensing devices — including radio frequency identification (RFID) readers and printers, Bluetooth devices, embedded systems, and bar-code devices. SAP Auto-ID Infrastructure also integrates intelligent controls such as programmable language controls and Savant technologies, ensuring comprehensive device integration.

SAP Auto-ID Infrastructure senses and controls automated signals in real-time. It connects directly with business processes requiring signal data to drive faster and better business decisions. With SAP Auto-ID Infrastructure, SAP has achieved an important milestone in realizing its vision of an adaptive supply chain network.

One of the first applications of SAP Auto-ID Infrastructure is the integration of RFID technology with supply chain processes. SAP Auto-ID Infrastructure provides out-of-the-box functionality to fulfill requirements for RFID compliance in the logistics applications of the U.S. Department of Defense, the U.S. Food and Drug Administration, and large retailers such as Wal-Mart. With SAP Auto-ID Infrastructure, you can meet current market needs and be ready for future automatic identification requirements.

SAP Auto-ID Infrastructure is:

Comprehensive — Enables complete integration of RFID readers and printers and other automated sensing devices
Scalable — Handles the vast amounts of data generated by scanning millions of RFID and other automatic identification items
Fast — Handles multiple tag reads simultaneously, ensuring rapid tag reads and data consolidation
Connected — Integrates with existing enterprise applications, including legacy systems, to enable end-to-end synchronization and business process management
SAP plans to release other RFID solution packages that leverage SAP Auto-ID Infrastructure. These solution packages will address business problems such as predictive maintenance, field service management, and adaptive manufacturing.

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