Kelepouris, T and Harrison, M and McFarlane, D (2009) Enhanced supply chain tracking based on the EPC network: A Bayesian approach. In: UNSPECIFIED pp. 2071-2076..Full text not available from this repository.
Supply chain tracking information is one of the main levers for achieving operational efficiency. RFID technology and the EPC Network can deliver serial-level product information that was never before available. However, these technologies still fail to meet the managers' visibility requirements in full, since they provide information about product location at specific time instances only. This paper proposes a model that uses the data provided by the EPC Network to deliver enhanced tracking information to the final user. Following a Bayesian approach, the model produces realistic ongoing estimates about the current and future location of products across a supply network, taking into account the characteristics of the product behavior and the configuration of the data collection points. These estimates can then be used to optimize operational decisions that depend on product availability at different locations. The enhancement of tracking information quality is highlighted through an example. © 2009 IFAC.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Uncontrolled Keywords:||Bayesian EPC network Information management Modeling Probabilistic RFID Supply chain tracking|
|Divisions:||Div E > Manufacturing Systems|
|Depositing User:||Cron Job|
|Date Deposited:||07 Mar 2014 12:13|
|Last Modified:||27 Nov 2014 19:19|