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 | |
| 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 | Canada |
| City | Edmonton |
| Period | 8/1/05 → 8/2/05 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Dynamic shipment planning in an automobile shipment yard using real-time Radio Frequency Identification (RFID) information. / Kim, Jindae; Tirupatikumara, Soundar Rajan; Yee, Shang T.; Tew, Jeffrey.
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
TY - GEN
T1 - Dynamic shipment planning in an automobile shipment yard using real-time Radio Frequency Identification (RFID) information
AU - Kim, Jindae
AU - Tirupatikumara, Soundar Rajan
AU - Yee, Shang T.
AU - Tew, Jeffrey
PY - 2005
Y1 - 2005
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=33745967963&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745967963&partnerID=8YFLogxK
U2 - 10.1109/COASE.2005.1506760
DO - 10.1109/COASE.2005.1506760
M3 - Conference contribution
AN - SCOPUS:33745967963
SN - 0780394267
SN - 9780780394261
VL - 2005
SP - 148
EP - 153
BT - Proceedings of the 2005 IEEE Conference on Automation Science and Engineering, IEEE-CASE 2005
ER -