基于随机需求的物流配送中心选址离散模型研究

针对物流需求不确定情况下的物流配送中心选址问题,对传统模型进行改进,将随机需求变量引入离散型选址模型,利用随机规划理论和遗传算法对实例模型进行求解。结果显示物流需求不确定情况下的随机规划模型的求解结果比假设已知需求情况下的结果真实可信,所需物流费用较少。

Resarch on Discrete Model of Choosing the Logistics Distribution Center Based on the Random Demand

This paper improves the traditional model,aiming at logistics center location problem under uncertain demand,and draws the random demand variable into discrete planning model,and makes use of stochastic programming theory and methods,through the introduction of confidence level,changes the uncertain random model into the stochastic optimal power flow problem.In the example,numerical simulation is used to analyze this two models,the results prove that the cost of the random planning model under uncertain dem...