A Mixed Integer Programming Model for Global Logistics Transportation Problems
A Mixed Integer Programming Model for Global Logistics Transportation Problems
In today's highly competitive global environment, companies are forced to compete on price and delivery speed. Global logistics transportation presents some special challenges and issues for business organizations, and these issues differ from those posed by domestic logistics transportation. This study considers road transportation problems between two countries. A mixed-integer programming model is formulated to determine the optimal fleet components, route plans, and warehouse control in two countries. A series of experiments is designed to test the effectiveness of the proposed model. To enhance the practical implications of the model, different logistics plans are evaluated according to future changes.
global logistics, global supply chain management, globalization, road transportation, mixed integer programming
217-228
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
March 2008
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Wu, Y.
(2008)
A Mixed Integer Programming Model for Global Logistics Transportation Problems.
International Journal of Systems Science, 39 (3), .
(doi:10.1080/00207720701596441).
Abstract
In today's highly competitive global environment, companies are forced to compete on price and delivery speed. Global logistics transportation presents some special challenges and issues for business organizations, and these issues differ from those posed by domestic logistics transportation. This study considers road transportation problems between two countries. A mixed-integer programming model is formulated to determine the optimal fleet components, route plans, and warehouse control in two countries. A series of experiments is designed to test the effectiveness of the proposed model. To enhance the practical implications of the model, different logistics plans are evaluated according to future changes.
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Published date: March 2008
Keywords:
global logistics, global supply chain management, globalization, road transportation, mixed integer programming
Identifiers
Local EPrints ID: 36367
URI: http://eprints.soton.ac.uk/id/eprint/36367
ISSN: 0020-7721
PURE UUID: 1262fe3f-4e40-4d46-9b4b-12e4c8e44260
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Date deposited: 19 May 2006
Last modified: 16 Mar 2024 03:39
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