一种新型供应链物料需求计划模型

A Robust Model for Supply Chain Material Requirement Planning

研究了提前期不确定情况下总装生产物料需求计划的优化问题.以供应链库存成本和客户响应时间的平衡优化为目标,通过构造遗传算法的适应值函数求解总装物料的计划提前期,用参数设置模拟各种工程应用的实际情况,使物料的提前/拖期成本较小、客户响应时间较短.该算法同时考虑了上游供应商和下游客户的动态变化,具有很好的柔性.实例计算证明了算法的有效性和应用潜力.

The optimization of material requirement planning of assembly manufacture under lead time uncertainty was studied. The problem is to harmoniously optimize supply chain inventory costs and customer respond time, by use of fitness function in genetic algorithm to solve the planned lead times of assembly materials, simulate various engineering applications by parameters setting to make inventory costs less, customer respond time shorter. The arithmetic takes the dynamic changes of upriver suppliers and downriver customers into account at the same time and is flexible. The instance proves the validity and potential of the arithmetic.