邢志伟,王叶宸,罗谦,秦坤,张涛.基于TrF-FUCOM-MARCOS的航空行李码放特性评估及排序优化[J].包装工程,2025,46(13):176-185.
XING Zhiwei,WANG Yechen,LUO Qian,QIN Kun,ZHANG Tao.Evaluation of Airline Luggage Loading Characteristics and Sequencing Optimization Based on TrF-FUCOM-MARCOS[J].Packaging Engineering,2025,46(13):176-185. |
| 基于TrF-FUCOM-MARCOS的航空行李码放特性评估及排序优化 |
| Evaluation of Airline Luggage Loading Characteristics and Sequencing Optimization Based on TrF-FUCOM-MARCOS |
| 投稿时间：2024-12-09 |
| DOI：10.19554/j.cnki.1001-3563.2025.13.020 |
| 中文关键词: 航空运输 多准则决策 行李码放 特征评估 模糊完全一致性方法 |
| 英文关键词:airline transport multi-criteria decision-making luggage loading characteristics evaluation fuzzy full consistency method |
| 基金项目:国家自然科学基金(U2333205);中国民航大学科研创新基金(2023YJSKC02001) |
| 作者 | 单位 |
| 邢志伟 | 中国民航大学 电子信息与自动化学院，天津 300300 |
| 王叶宸 | 中国民航大学 电子信息与自动化学院，天津 300300 |
| 罗谦 | 中国民用航空局第二研究所 工程技术研究中心，成都 610041 |
| 秦坤 | 中国民航大学 电子信息与自动化学院，天津 300300 |
| 张涛 | 中国民用航空局第二研究所 工程技术研究中心，成都 610041 |
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| Author | Institution |
| XING Zhiwei | College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China |
| WANG Yechen | College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China |
| LUO Qian | Engineering Technology Research Center, The Second Research Institute of Civil Aviation Administration of China, Chengdu 610041, China |
| QIN Kun | College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China |
| ZHANG Tao | Engineering Technology Research Center, The Second Research Institute of Civil Aviation Administration of China, Chengdu 610041, China |
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| 中文摘要: |
| 目的 针对航空行李码放过程中存在的强异构性和时间序列差异，提出一种优化行李码放顺序的方法，以提升行李自动化处理效率和空间利用率。方法 构建包含尺寸、重量、形状、硬度、平整度等5项指标的评估体系，引入梯形模糊数和完全一致性方法，降低决策中的主观偏差，并结合折中正负理想解排序法，生成行李的最佳码放序列。结果 在仿真测试中，经优化后的行李码放序列的行李车空间利用率达到98.37%，相较于未优化序列提高了7.26%，相较于其他排序方法分别提高了3.15%、2.10%。结论 该方法能够准确评估行李码放特性，减少主观因素对排序结果的影响，显著提升码放填充率和抗压稳定性，为航空行李自动化处理提供了有效的方案和理论依据。 |
| 英文摘要: |
| To address the strong heterogeneity and time-series variations in the process of airline luggage loading, the work aims to propose an optimized method for determining the loading sequence to improve the efficiency of automated luggage handling and space utilization. An evaluation system was constructed based on five indicators including size, weight, shape, hardness and flatness. Trapezoidal fuzzy numbers and the fully consistent method were introduced to reduce subjective bias in decision-making. Additionally, the compromise ideal solution sorting method was employed to generate the optimal loading sequence for luggage. The optimized luggage loading sequence achieved a space utilization rate of 98.37% in simulation tests, which was 7.26% higher than that of the unoptimized sequence, and 3.15% and 2.10% higher than that of other sequencing methods, respectively. The proposed method can accurately assess the loading characteristics of luggage, reduce the influence of subjective factors on sequencing results, and significantly improve both loading density and compressive stability. It provides an effective optimization strategy and theoretical basis for automated air luggage handling. |
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