RFID
Technology for Inventory Accuracy in Supply Chain
Nebil Buyurgan
University of Arkansas
Inventory
accuracy is a problem with many inventory management systems. Improved
inventory accuracy results in better execution of replenishment policies thus
the supply chain runs more efficiently. Radio frequency identification (RFID)
is a common tool that researchers and practitioners recommend organizations to
implement in order to improve the inventory accuracy of the supply chain. Even
though it has advantages, currently RFID is not a perfect technology and often
does not reach its maximum performance. In our study we investigate how
imperfect information from RFID technology can be used in inventory management
in multi-echelon supply chains and how inventory information provided by RFID
systems can affect inventory control decisions. A simulation modeling-based
approach is used to understand the potential uses and impacts of imperfect RFID
data in supply chains. In addition, the study is extended to identify
stock-loss issues in retail environment. Stochastic models are developed to
predict stock-loss in stores with less then perfect inventory visibility and
make replenishment decisions accordingly.
Nebil
Buyurgan, Ph.D., is an assistant professor in the Industrial Engineering
Department and the director of the AT&T RFID and Material Handling Laboratory
at the University
of Arkansas. He received
his doctorate in engineering management, from the University of Missouri-Rolla.
As the author or coauthor of over 40 technical papers, his research interests
include radio frequency technologies and their supply chain management
applications, humanitarian and healthcare logistics, and modeling and analysis
of discrete event systems. He has directed several projects funded by the
National Science Foundation, Air Force Research Lab, and Wal-Mart Stores.He teaches courses in the areas of RFID
technologies, product design, and production systems analysis.
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