不确定需求下配送中心选址研究

Research on distribution center location allocation based on uncertain demands

在传统配送中心选址的基础上,考虑客户需求的不确定性,将随机需求变量引入到配送中心选址模型中,利用随机规划理论和模糊理论构建了随机需求情况下配送中心选址的数学模型,并应用遗传算法通过算例对模型进行验证.算例结果表明:所构建的数学模型及其相应的求解算法对于解决不确定需求的选址问题有一定的理论和实践指导意义.

In order to study the problem of distribution center location with the uncertainty of customer demand, the random demand variables were introduced into the distribution center location model based on the traditional location allocation, then the distribution center location mathematical model with random demand was built by the stochastic programming and fuzzy theory, at last the model was proved by a numerical example which was worked out by using genetic algorithm. The result shows the constructed mathematical model and the approach of solving the location problem with uncertain demand had important theoretical and practical significance.