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A Genetic Algorithm of Two-Stage Supply Chain Distribution Problem Associated with Fixed Charge and Multiple Transportation Modes

Feng Chun, Yi Zhang

Open publisher page 6 citations

Abstract

A two-stage fixed charge distribution problem associated with multiple transportation modes selection of a supply chain is presented, 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). A genetic algorithm of 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

A two-stage fixed charge distribution problem associated with multiple transportation modes selection of a supply chain is presented, 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). A genetic algorithm of 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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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A two-stage fixed charge distribution problem associated with multiple transportation modes selection of a supply chain is presented, 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). A genetic algorithm of 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, Genetic algorithm, Mathematical optimization, Supply chain, Transportation theory, Selection (genetic algorithm), Computer science

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