A mixed-integer programming model for global logistics transportation problems

A mixed-integer programming model for global logistics transportation problems

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Article ID: iaor20091277
Country: United Kingdom
Volume: 39
Issue: 3
Start Page Number: 217
End Page Number: 228
Publication Date: Mar 2008
Journal: International Journal of Systems Science
Authors:
Keywords: vehicle routing & scheduling, programming: integer, supply & supply chains
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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