2009•Unpublished venueRequires access

Optimal Model and Solution Algorithm of Supply Chain Distribution Problem Associated with Fixed Charge and Multiple Transportation Modes Selection

Mi Gan, Gefu Jiang, Zongping Li

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Abstract

This paper considers a two-stage fixed charge distribution problem associated with multiple transportation modes selection of a supply chain, two kinds of transportation cost and one kind of transshipment cost are involved in: a continuous cost that linearly increases with the amount transported between a source and a destination, and secondly, a fixed charge, that incurs whenever there exists a transportation of a non-zero quantity between a source and a destination, Thirdly, a transshipment cost, incurs whenever there exists a transshipment in the distribution centers (DCs). An optimal model for this problem is presented, the original problem is converted to a specific fixed charge distribution problem with time and capability limitation by constructing a virtual transportation networks. A genetic algorithm for solving this problem is designed and applied; a numerical example reveals that the GA can obtain good solution of the problem effective.

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What this paper is about

This paper considers a two-stage fixed charge distribution problem associated with multiple transportation modes selection of a supply chain, two kinds of transportation cost and one kind of transshipment cost are involved in: a continuous cost that linearly increases with the amount transported between a source and a destination, and secondly, a fixed charge, that incurs whenever there exists a transportation of a non-zero quantity between a source and a destination, Thirdly, a transshipment cost, incurs whenever there exists a transshipment in the distribution centers (DCs). An optimal model for this problem is presented, the original problem is converted to a specific fixed charge distribution problem with time and capability limitation by constructing a virtual transportation networks. A genetic algorithm for solving this problem is designed and applied; a numerical example reveals that the GA can obtain good solution of the problem effective.

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Available abstract

This paper considers a two-stage fixed charge distribution problem associated with multiple transportation modes selection of a supply chain, two kinds of transportation cost and one kind of transshipment cost are involved in: a continuous cost that linearly increases with the amount transported between a source and a destination, and secondly, a fixed charge, that incurs whenever there exists a transportation of a non-zero quantity between a source and a destination, Thirdly, a transshipment cost, incurs whenever there exists a transshipment in the distribution centers (DCs). An optimal model for this problem is presented, the original problem is converted to a specific fixed charge distribution problem with time and capability limitation by constructing a virtual transportation networks. A genetic algorithm for solving this problem is designed and applied; a numerical example reveals that the GA can obtain good solution of the problem effective.

Key concepts: Transshipment (information security), Fixed charge, Mathematical optimization, Selection (genetic algorithm), Computer science, Supply chain, Genetic algorithm, Transportation theory

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