Abstract This paper builds empty shipping container allocation model on the base of integer programming on the premise of meeting heavy container transportation. In this model, the cost of allocation includes transportation cost, container leasing costs, and loading–unloading costs. The aim of objective function is to make the allocation cost minimum. In the circumstances of constraint conditions, many factors such as ship transport capacity, transport time, empty container quantities at supply ports, and quantities at demand ports are considered synthetically. Finally, the model is verified by an actual example and data, using LINDO software to calculate and determine the optimal scheme of empty container allocation.
Cost Optimization of Empty Shipping Container Allocation Based on Integer Programming
1st ed. 2016
2016-01-01
8 pages
Article/Chapter (Book)
Electronic Resource
English
Cost Optimization of Empty Shipping Container Allocation Based on Integer Programming
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