An RFID network design methodology for asset tracking in healthcare

Asil Oztekin; Foad M. Pajouh; Dursun Delen; Leva K. Swim

doi:10.1016/j.dss.2010.01.007

An RFID network design methodology for asset tracking in healthcare

Asil Oztekin, Foad M. Pajouh, Dursun Delen, Leva K. Swim

Research output: Contribution to journal › Article › peer-review

142 Scopus citations

Abstract

The purpose of this research is to provide decision makers with a methodology to optimize the design of a medical-asset tracking system constrained by a limited number of RFID readers. Using an enhanced formulation of the maximal covering location problem along with a new criticality index analysis metric (derived from the severity, frequency and dwell time of the critical medical assets) the optimal placement of the limited number of RFID readers is determined. The proposed methodology is implemented in a healthcare facility where the RFID system coverage has improved by 72% compared to the currently utilized expert/heuristic-based placement strategy.

Original language	English
Pages (from-to)	100-109
Number of pages	10
Journal	Decision Support Systems
Volume	49
Issue number	1
DOIs	https://doi.org/10.1016/j.dss.2010.01.007
State	Published - 1 Apr 2010
Externally published	Yes

Keywords

Asset tracking
Criticality index
Genetic algorithms
Healthcare
Reader placement
RFID

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10.1016/j.dss.2010.01.007

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abstract = "The purpose of this research is to provide decision makers with a methodology to optimize the design of a medical-asset tracking system constrained by a limited number of RFID readers. Using an enhanced formulation of the maximal covering location problem along with a new criticality index analysis metric (derived from the severity, frequency and dwell time of the critical medical assets) the optimal placement of the limited number of RFID readers is determined. The proposed methodology is implemented in a healthcare facility where the RFID system coverage has improved by 72% compared to the currently utilized expert/heuristic-based placement strategy.",

keywords = "Asset tracking, Criticality index, Genetic algorithms, Healthcare, Reader placement, RFID",

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AU - Pajouh, Foad M.

AU - Delen, Dursun

AU - Swim, Leva K.

PY - 2010/4/1

Y1 - 2010/4/1

N2 - The purpose of this research is to provide decision makers with a methodology to optimize the design of a medical-asset tracking system constrained by a limited number of RFID readers. Using an enhanced formulation of the maximal covering location problem along with a new criticality index analysis metric (derived from the severity, frequency and dwell time of the critical medical assets) the optimal placement of the limited number of RFID readers is determined. The proposed methodology is implemented in a healthcare facility where the RFID system coverage has improved by 72% compared to the currently utilized expert/heuristic-based placement strategy.

AB - The purpose of this research is to provide decision makers with a methodology to optimize the design of a medical-asset tracking system constrained by a limited number of RFID readers. Using an enhanced formulation of the maximal covering location problem along with a new criticality index analysis metric (derived from the severity, frequency and dwell time of the critical medical assets) the optimal placement of the limited number of RFID readers is determined. The proposed methodology is implemented in a healthcare facility where the RFID system coverage has improved by 72% compared to the currently utilized expert/heuristic-based placement strategy.

KW - Asset tracking

KW - Criticality index

KW - Genetic algorithms

KW - Healthcare

KW - Reader placement

KW - RFID

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JO - Decision Support Systems

JF - Decision Support Systems

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An RFID network design methodology for asset tracking in healthcare

Abstract

Keywords

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