刘桓秀,陆佳平,李新栋.多因素展架托盘装载布局的优化与影响分析[J].包装工程,2018,39(19):6-13.
LIU Huan-xiu,LU Jia-ping,LI Xin-dong.Optimization and Effect of Multiple-factor Stand Pallet Loading Placement[J].Packaging Engineering,2018,39(19):6-13. |
| 多因素展架托盘装载布局的优化与影响分析 |
| Optimization and Effect of Multiple-factor Stand Pallet Loading Placement |
| 投稿时间：2018-05-28 修订日期：2018-10-10 |
| DOI：10.19554/j.cnki.1001-3563.2018.19.002 |
| 中文关键词: 展架 布局模型 托盘 装载优化 遗传算法 |
| 英文关键词: stand placement model pallet loading optimization genetic algorithm |
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| 中文摘要: |
| 目的 用人工智能算法解决展架在托盘上的布局问题，以满足企业需求，提高装载效率。方法 依据实际性能约束，将展架托盘装载的三维布局问题转化为二维问题，用布置点的定位和分块的定序规则，基于遗传算法在几分钟内求出布局解。将空间长度L及宽度W，待布物体长度L1及宽度W1、W2等5个参数组合作为变量，探究托盘规格、包装材料、展架尺寸等三因素对布局解的影响。结果 当参数L=1000 mm，W=800 mm，L1=700 mm，W1=380 mm，W2=50 mm为定量，可得到特定案例的最优装载量为17及其装载方式C：0。当参数为变量，采集了布局解数据，拟合了三因素对布局影响的图像与关系。结论 运用信息智能包装技术，参考布局解形成的数据源，利用数据突变特性，在前期可帮助用户更好地设计产品，在后期可提高包装工程师布局方案的选择效率。 |
| 英文摘要: |
| The work aims to solve the placement problem of stand on the pallet by means of artificial intelligence algorithm, so as to meet the requirements of enterprises and improve the loading efficiency. According to the actual performance constraints, the three-dimensional placement problem of the stands’ pallet loading was transformed into a two-dimensional problem. On the basis of the location of placement points and the order rule of blocks, the genetic algorithm was used to find out the placement solution within a few minutes. The five parameters, including space length L and width W, length L1 of object to be placed and width W1 and W2 were combined as variables to explore the effects of three factors (pallet specifications, packaging materials and stand size) on the placement solution. When the five parameters
(L=1000 mm, W=800 mm, L1=700 mm, W1=380 mm and W2=50 mm) were quantitative, the optimal loading of the estab-lished case was 17 and the loading mode was C: 0. When the parameters were variables, the placement solution data were collected, and the images of the effects of three factors on the placement and the relationships between them were fitted. By applying the information intelligent packaging technology, by reference to the data sources of placement solution and making use of the data mutation characteristics, it is effective to help users design products better in the early stage and improve the selection efficiency of the packaging engineer’s placement scheme in the later stage. |
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