Industrial Engineering and Management Systems

Korean Institute of Industrial Engineers (대한산업공학회)
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Performance Modeling of an EPC Information Service System

  • Kim, So-Jung (Department of Industrial and Systems Engineering Dongguk Univ-Seoul) ;
  • Kang, Yong-Shin (Department of Industrial and Systems Engineering Dongguk Univ-Seoul) ;
  • Son, Kyung-Won (Department of Industrial and Systems Engineering Dongguk Univ-Seoul) ;
  • Lee, Yong-Han (Department of Industrial and Systems Engineering Dongguk Univ-Seoul) ;
  • Rhee, Jong-Tae (Department of Industrial and Systems Engineering Dongguk Univ-Seoul) ;
  • Hong, Sung-Jo (Department of Industrial and Systems Engineering Dongguk Univ-Seoul)
  • Received : 2010.03.31
  • Accepted : 2010.07.25
  • Published : 2010.09.01
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Abstract

To obtain visible and traceable information from the supply chain, HW/SW standards for the EPC global network, which process electronic product code (EPC) data read from Radio frequency identification (RFID) tags, are regarded as the de facto industry standard. Supply chain participants install information service systems and provide logistics information to partners by following the EPCglobal architecture framework. Although quality of service (QoS) is essential for providing dependable and scalable services as pointed out by Auto-ID Lab, only a few models for the performance analysis of QoS-related work have been developed in the context of EPC information service systems. Specifically, doing so allows alternative design choices to be tested in an easy and cost-effective manner and can highlight potential performance problems in designs long before any construction costs are incurred. Thus, in this study we construct a model of an EPC information service system for the purposes of performance analysis and designing a dependable system. We also develop a set of building blocks for analytical performance models. To illustrate how the model works, we determine the characteristics of an EPC information service system and then select a combination of these proven modeling concepts. We construct a performance model that considers the response time and shows how to derive meaningful performance values. Finally, we compare the analytical results to measurements of the EPC information service system.

Keywords

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