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公路桥梁钢结构工厂化制造多属性决策评价方法
引用本文:惠记庄,雷景媛,王亚飞,张富强,丁凯,张金龙.公路桥梁钢结构工厂化制造多属性决策评价方法[J].中国公路学报,2021,34(6):99-108.
作者姓名:惠记庄  雷景媛  王亚飞  张富强  丁凯  张金龙
作者单位:1. 长安大学 工程机械学院, 陕西 西安 710064;2. 长安大学 公路养护装备国家工程实验室, 陕西 西安 710064
基金项目:陕西省交通运输厅项目(17-21K);西藏天路创新发展基金重点项目(XZ2019TL-G-02)
摘    要:为了量化评估公路钢桥预制构件工厂化制造中的多属性信息以制定符合实际建设需求的最优制造企业方案,提出基于三角模糊数-TOPSIS法的公路钢桥制造多属性决策评价方法。首先,通过分析与表征公路钢桥预制构件的工厂化制造特点,提出预制生产模式下公路钢桥的层次划分方法,依托钢桥制造方案的属性建立备选制造企业的多属性评价体系;其次,基于制造任务信息模型和制造企业信息模型构建钢桥制造匹配模型,通过本体推理得出备选制造企业;然后,采用三角模糊数和0.1~0.9标度设定法计算备选制造企业方案的属性权重并构建初始多属性决策矩阵,提出改进的三角模糊数-TOPSIS法对备选制造企业方案的规范化多属性决策矩阵进行数学描述并求解得到综合接近度指数,从而实现备选制造企业的优劣排序;最后,将该决策评价方法应用于具体实施案例中,对4种备选制造企业方案进行对比分析。结果表明:4种备选制造企业方案的综合接近度指数依次为0.918,0.745,0.797,0.203,其中,方案1为最佳制造企业策略,方案3可作为次优策略备选。所提出的公路钢桥制造多属性决策评价方法能够科学合理地对公路钢桥预制构件的工厂化制造企业方案进行综合评价并实现自动化决策,为钢结构桥梁的自适应、自治生产奠定基础,提高公路钢桥制造过程的智能化、自治化程度。

关 键 词:桥梁工程  公路钢桥  多属性决策评价  预制构件  三角模糊数  TOPSIS  
收稿时间:2020-10-05

Multiattribute Decision-making Evaluation Method for Highway Steel Bridge Factory Manufacturing
HUI Ji-zhuang,LEI Jing-yuan,WANG Ya-fei,ZHANG Fu-qiang,DING Kai,ZHANG Jin-long.Multiattribute Decision-making Evaluation Method for Highway Steel Bridge Factory Manufacturing[J].China Journal of Highway and Transport,2021,34(6):99-108.
Authors:HUI Ji-zhuang  LEI Jing-yuan  WANG Ya-fei  ZHANG Fu-qiang  DING Kai  ZHANG Jin-long
Institution:1. School of Construction Machinery, Chang'an University, Xi'an 710064, Shaanxi, China;2. National Engineering Laboratory for Highway Maintenance Equipment, Chang'an University, Xi'an 710064, Shaanxi, China
Abstract:To quantitatively evaluate the multiattribute information in the factory manufacturing of highway steel bridge precast components to formulate an optimal manufacturing enterprise that meets the actual construction needs, a multiattribute decision-making evaluation method for highway steel bridge manufacturing based on the triangular fuzzy number-TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method is proposed. First, by analyzing and characterizing the factory manufacturing characteristics of highway steel bridge prefabricated components, a hierarchical division method for highway steel bridge under a prefabrication production mode is developed, and a multiattribute evaluation system for alternative manufacturing options is established based on the attributes of steel bridge manufacturing enterprises. Second, a steel bridge manufacturing matching model is built based on the manufacturing task information model and the manufacturing enterprise information model, and alternative manufacturing enterprises are obtained through ontology reasoning. Then, the triangular fuzzy number and the 0.1-0.9 scale setting method is used to calculate the attribute weights of the alternative manufacturing enterprises. The initial multiattribute decision-making matrix is constructed, and an improved triangular fuzzy number TOPSIS method is used to describe mathematically the standardized multiattribute decision-making matrix of the alternative manufacturing enterprises and obtain the comprehensive proximity index to rank the advantages and disadvantages of the alternative manufacturing enterprises. The decision-making evaluation method was applied to specific implementation cases for analysis. The comparison of four alternative manufacturing enterprises shows that the comprehensive proximity indices of the four alternative manufacturing enterprises are 0.917 8, 0.745, 0.797, and 0.203; among these, the first enterprise is the best option, and the third enterprise can be used as the second-best option. This is consistent with the advantages and disadvantages of the manufacturing options in actual production. The proposed multiattribute decision-making evaluation method for highway steel bridge manufacturing can scientifically and reasonably evaluate the factory-based manufacturing plan of highway steel bridge precast components and realize automatic decision making, laying the foundation for the adaptive and autonomous production of steel structure bridges. The degree of intelligence and autonomy of the highway steel bridge manufacturing process can be theoretically improved.
Keywords:bridge engineering  highway steel bridge  multiattribute decision evaluation  prefabricated parts  triangular fuzzy number  TOPSIS  
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