基于遗传算法的数字化船舶车间仓库设备货位优化  

Optimization of Equipment Location in Digital Workshop Warehouse Based on Genetic Algorithm

作　　者：熊峰[1] 沈泽炎 孔维畅 

机构地区：[1]上海大学机电工程与自动化学院,上海200444 [2]上海杰瑞兆新信息科技有限公司,上海200120

出　　处：《工业控制计算机》2022年第12期14-17,共4页Industrial Control Computer

基　　金：基于人工智能的船舶数字化车间技术研究(PKX2020-R16)。

摘　　要：针对数字化船舶车间仓库管理中设备摆放问题,比如设备随意摆放以及货架空间浪费,严重降低了船舶智能制造物流的效率。因此提出以设备出入库效率、货架的稳定性以及同种设备的聚集程度为目标,建立数学模型。根据数学模型,构建出多目标函数,将其进行归一化处理以及加权处理形成单一目标函数,采用遗传算法对目标函数进行迭代优化计算。研究结果表明,遗传算法可以有效地提高数字化船舶车间仓库出入库效率以及保证货架的稳定性。Aiming at the problems of equipment placement in the warehouse management of digital ship workshop,such as the disorderly placement of equipment and the inefficient use of cargo space,which affect the low efficiency of ship intel-ligent manufacturing logistics.This paper proposes to establish a mathematical model aiming at the efficiency of equipment in and out of the warehouse,the stability of shelves and the aggregation degree of the same kind of equipment.According to the mathematical model,the multi-objective function is constructed,normalized and weighted to form a single objective func-tion,and the objective function is iteratively optimized by genetic algorithm.The results show that genetic algorithm can ef-fectively improve the warehousing efficiency of digital ship workshop warehouse and ensure the stability of shelves.

关 键 词：遗传算法 设备货位 数字化船舶车间仓库 

分 类 号：U673[交通运输工程—船舶及航道工程] TP18[交通运输工程—船舶与海洋工程]