摘要
为提高军队自动化立体仓库的出库能力,提出应根据需求变化对在库物资货位进行动态调整,从而最大限度地保障军队物资需求。综合考虑堆垛机总行程、货物离散度和出库频率等评价指标,采用遗传算法对该多目标优化问题进行求解,并运用Matalab仿真。结果表明,该方法能较好地提高军队自动化立体仓库在需求动态变化时的出库能力。同时,该研究对一般仓库的货位优化也有一定的借鉴意义。
Stacker＇ s dynamic adjustment to storage location in accordance with demand changes is proposed to improve the stock removal capability of military AS/RS, and thereby, to support the demand of military material capacity. Based on the evalua- tion indexes of stacker＇ s total travel, material dispersion, stock removal frequency, etc, the genetic algorithm is used to solve the multi-objective optimization problem and Matlab is employed to simulate it. Results indicate that this method can improve emergen- cy response when demand changes. Also, it has certain reference significance to the storage location optimization of general ware- houses.
出处
《后勤工程学院学报》
2014年第5期60-64,共5页
Journal of Logistical Engineering University
关键词
需求变化
遗传算法
多目标优化
货位优化
demand changes
genetic algorithm
multi-objective optimization
slotting optimization
