Wireless communication-enabled Markovian decision model for dynamic shipment planning in supply chains

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

Research output: Contribution to conferencePaper

Abstract

Wireless communication technology has been increasingly adopted in various business environments of supply chains. Radio frequency identification technology enables to obtain the real-time information of the dynamics associated with vehicle shipment operations. This paper presents a Markov decision process based model for dynamically building the shipment loads using the real-time information of the wireless tracking system. The simulation results demonstrated the Markovian decision model is effective in reducing vehicle dwell time, improving customer fulfillment, and increasing utilization of the transportation carriers.

Original languageEnglish (US)
Publication statusPublished - Dec 1 2005
EventIIE Annual Conference and Exposition 2005 - Atlanta, GA, United States
Duration: May 14 2005May 18 2005

Other

OtherIIE Annual Conference and Exposition 2005
CountryUnited States
CityAtlanta, GA
Period5/14/055/18/05

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Kim, J., Kumara, S. R. T., Yee, S. T., & Tew, J. (2005). Wireless communication-enabled Markovian decision model for dynamic shipment planning in supply chains. Paper presented at IIE Annual Conference and Exposition 2005, Atlanta, GA, United States.