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논문검색

A Service-Based Methodology for RFID-Smart Objects Interactions in Supply Chain

초록

영어

Automatic Data Capture and RFID technologies (Radio Frequency IDentification) can be found in many industrial applications, mostly for product identification and traceability in the supply chain. In this paper, we suggest a methodology supported by an environment in which an RFID-tagged product is transformed into a smart object with embedded services and capable of acting by itself and conducting its destiny along its lifecycle. We use the RFID technology to assure automatic identification and communication with a product and UPnP technology (Universal Plug and Play) to allow developing product-to-process interaction, product-to-product interaction, product-to-environment and product-to-user interactions. The paper proposes a methodology based on UPnP Services that aims to give to the product the capabilities to analyze and to control its lifecycle behavior. Thus, a product can analyze each stage in the supply chain, to control its needs and to avoid the critical situations. The presented work proposes a methodology for RFID-based Smart Object design based on product’s service modeling. The merging of RFID technology with UPnP framework offers the opportunity to design and implement smart object capabilities on products within the supply chain and manufacturing areas.

목차

Abstract
 1 Supply Chain Requirements and Context
  1.1. RFID and Smart Objects for Ambient Intelligence System
  1.2. RFID technologies as AmI building bricks
 2 Methodology for RFID-based Smart Object design
  2.1 Principle of Service-based relationship for RFID-Smart Objects
  2.2. RFID-Smart Object’s implementation cases
  2.3. RFID-Smart Object’s Service Classes
  2.4. RFID-Smart Object’s Interaction Model
 3. Practical Achievement of Smart Object capabilities
  3.1. RFID and Services in a warehouse use-case
  3.2. Development and Demonstration Platform
 4. Conclusion
 References

저자정보

  • Eddy Bajic Nancy University, Research Center for Automatic Control of Nancy CRAN-CNRS UMR 7039, Faculty of Sciences, Vandoeuvre-les-Nancy 54500 - France

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