Abstract
A sound designing of reverse logistics network for household electric product may lead to benefits of both economic and political. On the basis of analyzing reverse logistics network model, a reverse logistics network model is given for the returning of household electric product in such locations as collection, storage, disassembly, burying, and sale. A genetic algorithm is constructed, and case computing is conducted. The result demonstrates that using the genetic algorithm in the optimization of reverse logistics network model may achieve the optimum solution or approximate optimum solution.
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