Dynamic shipment planning in an automobile shipment yard using real-time Radio Frequency Identification (RFID) information

Jindae Kim, Soundar R.T. Kumara, Shang Tae Yee, Jeffrey Tew

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Wireless communication technology has been increasingly adopted in various business environments of supply chains. Radio frequency identification technology provides real-time information of vehicle movements and, associated shipment operations can benefit from it for better, efficient load makeup. A Markov decision process model is proposed for dynamically building the shipment loads using real-time information of the wireless tracking system. Simulation results demonstrate the superior performance of dynamic decision approach compared to conventional shipment practices in terms of reducing vehicle dwell time, improving customer fulfillment, and increasing utilization of the transportation carriers.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
Pages148-153
Number of pages6
DOIs
StatePublished - 2005
Event2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005 - Edmonton, Canada
Duration: Aug 1 2005Aug 2 2005

Publication series

NameProceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
Volume2005

Other

Other2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
Country/TerritoryCanada
CityEdmonton
Period8/1/058/2/05

All Science Journal Classification (ASJC) codes

  • General Engineering

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