A market-based approach for dynamic vehicle deployment planning using radio frequency identification (RFID) information

Jindae Kim, Chang Soo Ok, Soundar Kumara, Shang Tae Yee

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

Recently active radio-frequency identification (RFID) has drawn a lot of attention because of its capability to provide visibility of a dynamically moving object in a constantly changing operational environment by enabling instant identification and automatic information transfer. When a vehicle moves around in an automotive manufacturing plant shipment yard, the RFID system keeps track of the vehicle's location in near real-time until it is shipped to a dealer. These real-time location data from the RFID can be utilized to make a better decision to deploy a finished vehicle to a parking slot in the shipment yard. This paper presents an approach for RFID-enabled finished vehicle deployment planning, which is based on market-based decision-making framework having a multiagent computational architecture to process and coordinate real-time changes in vehicle locations and make a timely decision. Experimental results using simulation show that the proposed vehicle deployment planning approach improves a great deal of vehicle deployment performance in terms of the operational time, shipment yard utilization, and labor consumption.

Original languageEnglish (US)
Pages (from-to)235-247
Number of pages13
JournalInternational Journal of Production Economics
Volume128
Issue number1
DOIs
StatePublished - Nov 1 2010

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All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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