Allotment booking in intermodal transport

The article presents a valuable concept seeking to solve the problem of demand uncertainty in intermodal transport. Regular traffic is quite important for moving containers, trailers and swap bodies. To keep regularity with uncertain demand means to have backlogs or empty space. Both of them are ine...

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Main Authors: I. Jaržemskienė, V. Jaržemskis
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2009-03-01
Series:Transport
Subjects:
Online Access:http://www.transport.vgtu.lt/upload/tif_zur/2009-1-jarzemskiene_jarzemskis.pdf
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author I. Jaržemskienė
V. Jaržemskis
author_facet I. Jaržemskienė
V. Jaržemskis
author_sort I. Jaržemskienė
collection DOAJ
description The article presents a valuable concept seeking to solve the problem of demand uncertainty in intermodal transport. Regular traffic is quite important for moving containers, trailers and swap bodies. To keep regularity with uncertain demand means to have backlogs or empty space. Both of them are inefficient from an economical point of view. In practice, a day-by-day demand forecast is meaningful only for the next two or three days. This poses serious allotment management problems to freight forwarders and shippers since long-term contract allotments need to be planned many months ahead. The article presents a stochastic dynamic programming model for a short-term allotment planning a model that would be very valuable for implementing intermodal solutions. The presented model evaluates optimal cost policy based on the economic trade-off between the cost of backlogged shipment and the cost of acquiring additional allotment.
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spelling doaj.art-4beeeed0bcfc47ee91c8aa2ecfff5dbf2022-12-21T19:24:56ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802009-03-012413741Allotment booking in intermodal transportI. JaržemskienėV. JaržemskisThe article presents a valuable concept seeking to solve the problem of demand uncertainty in intermodal transport. Regular traffic is quite important for moving containers, trailers and swap bodies. To keep regularity with uncertain demand means to have backlogs or empty space. Both of them are inefficient from an economical point of view. In practice, a day-by-day demand forecast is meaningful only for the next two or three days. This poses serious allotment management problems to freight forwarders and shippers since long-term contract allotments need to be planned many months ahead. The article presents a stochastic dynamic programming model for a short-term allotment planning a model that would be very valuable for implementing intermodal solutions. The presented model evaluates optimal cost policy based on the economic trade-off between the cost of backlogged shipment and the cost of acquiring additional allotment.http://www.transport.vgtu.lt/upload/tif_zur/2009-1-jarzemskiene_jarzemskis.pdfallotmentstochastic modelintermodal transport
spellingShingle I. Jaržemskienė
V. Jaržemskis
Allotment booking in intermodal transport
Transport
allotment
stochastic model
intermodal transport
title Allotment booking in intermodal transport
title_full Allotment booking in intermodal transport
title_fullStr Allotment booking in intermodal transport
title_full_unstemmed Allotment booking in intermodal transport
title_short Allotment booking in intermodal transport
title_sort allotment booking in intermodal transport
topic allotment
stochastic model
intermodal transport
url http://www.transport.vgtu.lt/upload/tif_zur/2009-1-jarzemskiene_jarzemskis.pdf
work_keys_str_mv AT ijarzemskiene allotmentbookinginintermodaltransport
AT vjarzemskis allotmentbookinginintermodaltransport