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

Jindae Kim; Soundar Rajan Tirupatikumara; Shang T. Yee; Jeffrey Tew

doi:10.1109/COASE.2005.1506760

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

Jindae Kim, Soundar Rajan Tirupatikumara, Shang T. Yee, Jeffrey Tew

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
Pages	148-153
Number of pages	6
Volume	2005
DOIs	https://doi.org/10.1109/COASE.2005.1506760
State	Published - 2005
Event	2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005 - Edmonton, Canada Duration: Aug 1 2005 → Aug 2 2005

Other

Other	2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
Country/Territory	Canada
City	Edmonton
Period	8/1/05 → 8/2/05

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

10.1109/COASE.2005.1506760

Cite this

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

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.",

author = "Jindae Kim and Tirupatikumara, {Soundar Rajan} and Yee, {Shang T.} and Jeffrey Tew",

year = "2005",

doi = "10.1109/COASE.2005.1506760",

language = "English (US)",

isbn = "0780394267",

volume = "2005",

pages = "148--153",

booktitle = "Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005",

note = "2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005 ; Conference date: 01-08-2005 Through 02-08-2005",

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Kim, J, Tirupatikumara, SR, Yee, ST & Tew, J 2005, Dynamic shipment planning in an automobile shipment yard using real-time Radio Frequency Identification (RFID) information. in Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005. vol. 2005, 1506760, pp. 148-153, 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005, Edmonton, Canada, 8/1/05. https://doi.org/10.1109/COASE.2005.1506760

Dynamic shipment planning in an automobile shipment yard using real-time Radio Frequency Identification (RFID) information. / Kim, Jindae; Tirupatikumara, Soundar Rajan; Yee, Shang T. et al.

Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005. Vol. 2005 2005. p. 148-153 1506760.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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

Abstract

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All Science Journal Classification (ASJC) codes

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