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Optimization of the Replenishment Strategy for the Supplier Based on Genetic Algorithm

机译:基于遗传算法的供应商补货策略优化

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In the supply chain management, the supplier can reduce its total cost by providing price discounts to restrict the retailers’ replenishment intervals to multiples of a common replenishment interval. In order to accomplish this purpose, supplier often determined a price discount that all the retailers can accept. After the cost of the supplier was further considered, a better price discount was designed, which can meet all the retailers’ requirements to maximize their benefits. And a new supplier’s minimization problem model based on stackelberg game was designed also. Then a genetic algorithm is used to solve the supplier’s replenishment model. Experiment results of the genetic algorithm demonstrated the feasibility and the effectiveness of the strategy.
机译:在供应链管理中,供应商可以通过提供价格折扣以将零售商的补货间隔限制为普通补货间隔的倍数来降低总成本。为了实现这一目的,供应商通常会确定所有零售商都可以接受的价格折扣。在进一步考虑了供应商的成本之后,设计了更好的价格折扣,可以满足所有零售商的要求,以最大程度地提高收益。还设计了一个新的基于Stackelberg游戏的供应商最小化问题模型。然后,使用遗传算法求解供应商的补货模型。遗传算法的实验结果证明了该策略的可行性和有效性。

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