高速公路大标段建设项目群物资供应研究

Research on the Material Supplies of Large-section Construction Programme in Highway

为了能有效节能降耗、节约运输成本,降低大标段建设项目群的进度风险,分两步构建高速公路大标段项目群的物资供应计划。结合主客观权重,确定各个配送点的优先级;根据供应商的实际情况,确定本次计划的配送点,构建以路线最短、成本最低为目标的物资供应优化数学模型,并采用自适应蚁群算法进行求解。实例仿真表明,用该算法编制物资供应计划是可行的,通过该算法不仅能求得物资供应的最优配送路线,还能得到在成本最低的情况下配送车辆的最大值。

In order to save energy and transportation cost effectively,and reduce the schedule risk of the programme,a material supplies plan of large-section construction programme in highway has been built in two steps in this paper.Firstly, this paper determines the priority of distribution sites by combining the subjective weights with objective weights. Secondly, according to the actual situations of suppliers, the distribution site is decided, and the mathematical supplies model is built with the purpose of finding the shortest route and lowest cost. The instance simulation shows that ant colony optimization can not only calculate the optimum supplies route, but also get the maximum quantity of the vehicles given the lowest cost.