RFID and item-level information visibility

Wei Zhou

European Journal of Operational Research, 2009, vol. 198, issue 1, 252-258

Abstract: Radio frequency identification (RFID) is emerging as the hottest information tracing technology in supply chain management with its inherent ability to reveal item-level product information. Although the beneficial aspects for retailers have been studied in greater detail, RFID tags can be beneficially utilized in a manufacturing context. Unlike a majority of case study-based literature in this area, this paper takes a different perspective by modeling item-level information visibility in general. Specifically, this is accomplished through reduced randomness, as a function of the scale of the information system, the distribution of the sample space, the control variables and the production functions. In order to discover the optimal procedure that utilizes item-level information, we extend the basic model to cover multiple periods. Appropriate example scenarios are simulated accordingly to verify the results and to show evidence supporting the generality and robustness of the model.

Keywords: RFID; Component; manufacturing; Item-level; information; visibility; Decision; making; Item-level; identification (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377-2217(08)00759-5
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:198:y:2009:i:1:p:252-258

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().