Risk analysis in port competition for containerized imports

A number of factors are causing changes in container logistics, particularly for imports into the United States. These include growth and volatility in demands, expansion of new routes (Panama Canal and Northwest Passage), and development of new ports (Prince Rupert and ports on the Mexican west coa...

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Main Authors: Fan, Lei, Wilson, William W., Dahl, Bruce
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0377221715002866
id ftrepec:oai:RePEc:eee:ejores:v:245:y:2015:i:3:p:743-753
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spelling ftrepec:oai:RePEc:eee:ejores:v:245:y:2015:i:3:p:743-753 2024-04-14T08:16:46+00:00 Risk analysis in port competition for containerized imports Fan, Lei Wilson, William W. Dahl, Bruce http://www.sciencedirect.com/science/article/pii/S0377221715002866 unknown http://www.sciencedirect.com/science/article/pii/S0377221715002866 article ftrepec 2024-03-19T10:31:18Z A number of factors are causing changes in container logistics, particularly for imports into the United States. These include growth and volatility in demands, expansion of new routes (Panama Canal and Northwest Passage), and development of new ports (Prince Rupert and ports on the Mexican west coast). Uncertainty is a major factor confronting logistics for container shipping. A stochastic network-flow model is developed in this study to analyze risk in port throughput as a result of randomness in critical variables in the logistics system for container imports into the United States. The results illustrate the stochastic distribution of container shipments at ports and routes serving the U.S. container market. The derived distributions for port throughput have important implications for port management. Logistics; Stochastic model; Container; Article in Journal/Newspaper Northwest passage RePEc (Research Papers in Economics) Northwest Passage Rupert ENVELOPE(-134.187,-134.187,59.599,59.599) Prince Rupert ENVELOPE(-130.297,-130.297,54.290,54.290)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description A number of factors are causing changes in container logistics, particularly for imports into the United States. These include growth and volatility in demands, expansion of new routes (Panama Canal and Northwest Passage), and development of new ports (Prince Rupert and ports on the Mexican west coast). Uncertainty is a major factor confronting logistics for container shipping. A stochastic network-flow model is developed in this study to analyze risk in port throughput as a result of randomness in critical variables in the logistics system for container imports into the United States. The results illustrate the stochastic distribution of container shipments at ports and routes serving the U.S. container market. The derived distributions for port throughput have important implications for port management. Logistics; Stochastic model; Container;
format Article in Journal/Newspaper
author Fan, Lei
Wilson, William W.
Dahl, Bruce
spellingShingle Fan, Lei
Wilson, William W.
Dahl, Bruce
Risk analysis in port competition for containerized imports
author_facet Fan, Lei
Wilson, William W.
Dahl, Bruce
author_sort Fan, Lei
title Risk analysis in port competition for containerized imports
title_short Risk analysis in port competition for containerized imports
title_full Risk analysis in port competition for containerized imports
title_fullStr Risk analysis in port competition for containerized imports
title_full_unstemmed Risk analysis in port competition for containerized imports
title_sort risk analysis in port competition for containerized imports
url http://www.sciencedirect.com/science/article/pii/S0377221715002866
long_lat ENVELOPE(-134.187,-134.187,59.599,59.599)
ENVELOPE(-130.297,-130.297,54.290,54.290)
geographic Northwest Passage
Rupert
Prince Rupert
geographic_facet Northwest Passage
Rupert
Prince Rupert
genre Northwest passage
genre_facet Northwest passage
op_relation http://www.sciencedirect.com/science/article/pii/S0377221715002866
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