Intermodal network expansion in a competitive environment with uncertain demands
This paper formulates robust optimization models for the problem of finding near-optimal locations for new intermodal terminals and their capacities for a railroad company, which operates an intermodal network in a competitive environment with uncertain demands. To solve the robust models, a Simulat...
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Growing Science
2015-04-01
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Online Access: | http://www.growingscience.com/ijiec/Vol6/IJIEC_2014_35.pdf |
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doaj-887ab637996147c1a0dfcc93c1bed8a02020-11-24T21:01:17ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342015-04-016228530410.5267/j.ijiec.2014.10.002Intermodal network expansion in a competitive environment with uncertain demandsFateme Fotuhi Nathan HuynhThis paper formulates robust optimization models for the problem of finding near-optimal locations for new intermodal terminals and their capacities for a railroad company, which operates an intermodal network in a competitive environment with uncertain demands. To solve the robust models, a Simulated Annealing (SA) algorithm is developed. Experimental results indicate that the SA solutions (i.e. objective function values) were comparable to those obtained using GAMS, but the SA algorithm could obtain solutions faster and could solve much larger problems. In addition, the results verify that solutions obtained from the robust models were more effective in dealing with uncertain demand scenarios.http://www.growingscience.com/ijiec/Vol6/IJIEC_2014_35.pdfIntermodal terminal locationCompetitionRobust optimizationSimulated annealing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fateme Fotuhi Nathan Huynh |
spellingShingle |
Fateme Fotuhi Nathan Huynh Intermodal network expansion in a competitive environment with uncertain demands International Journal of Industrial Engineering Computations Intermodal terminal location Competition Robust optimization Simulated annealing |
author_facet |
Fateme Fotuhi Nathan Huynh |
author_sort |
Fateme Fotuhi |
title |
Intermodal network expansion in a competitive environment with uncertain demands |
title_short |
Intermodal network expansion in a competitive environment with uncertain demands |
title_full |
Intermodal network expansion in a competitive environment with uncertain demands |
title_fullStr |
Intermodal network expansion in a competitive environment with uncertain demands |
title_full_unstemmed |
Intermodal network expansion in a competitive environment with uncertain demands |
title_sort |
intermodal network expansion in a competitive environment with uncertain demands |
publisher |
Growing Science |
series |
International Journal of Industrial Engineering Computations |
issn |
1923-2926 1923-2934 |
publishDate |
2015-04-01 |
description |
This paper formulates robust optimization models for the problem of finding near-optimal locations for new intermodal terminals and their capacities for a railroad company, which operates an intermodal network in a competitive environment with uncertain demands. To solve the robust models, a Simulated Annealing (SA) algorithm is developed. Experimental results indicate that the SA solutions (i.e. objective function values) were comparable to those obtained using GAMS, but the SA algorithm could obtain solutions faster and could solve much larger problems. In addition, the results verify that solutions obtained from the robust models were more effective in dealing with uncertain demand scenarios. |
topic |
Intermodal terminal location Competition Robust optimization Simulated annealing |
url |
http://www.growingscience.com/ijiec/Vol6/IJIEC_2014_35.pdf |
work_keys_str_mv |
AT fatemefotuhi intermodalnetworkexpansioninacompetitiveenvironmentwithuncertaindemands AT nathanhuynh intermodalnetworkexpansioninacompetitiveenvironmentwithuncertaindemands |
_version_ |
1716778361890537472 |