基于直觉模糊因子分析模型的地铁供应商选择
首发时间:2020-10-20
摘要:面对日益严峻的环境和交通问题,城市轨道交通作为一种高效率、大运量的交通方式,已经日益成为诸多大城市落实公交优先、引导绿色出行的重要选择。伴随着轨道交通建设不断加速,建设所需的材料物资设备需求呈现快速增大的趋势,这其中,如何科学选择供应商以满足轨道交通建设就成为一个需要重点解决的问题。在分析影响供应商选择的因素基础上,建立了地铁供应商指标评价体系,并介绍了基于随机环境的直觉模糊因子分析模型。首先从直觉模糊角度对供应商进行评价,其次通过得分函数对供应商进行排序,最后以天津地铁项目为例,进行了地铁集团的供应商评价及选择。
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Intuitionistic Fuzzy Factorial Analysis Model For Metro Supplier Selection
Abstract:Facing serious environmental and traffic problems, urban rail transit companies, with the features of large capacity and high efficiency, have become an important choice for many large cities that are prioritizing public transportation and encouraging green travel options. As the construction speed of rail transit projects accelerates, the demand for materials and devices required for construction and operation is also increasing for urban rail transit companies. Therefore, the scientific selection of suppliers to meet construction and operation demands has become a problem that must be addressed. This paper presents an intuitionistic fuzzy factorial analysis model in a random environment, where correlative phenomena among each of the indicators and a random decision-making environment are considered. The evaluation indicator system of rail suppliers is established by considering the influencing factors. The suppliers are evaluated from the perspective of the number of intuitionistic fuzzy factors and are ranked by their scores. Finally, the Tianjin urban rail transit company is used as a case study to improve their existing supplier selection method.
Keywords: multiple attributes decision making fuzzy environment factor analysis supplier selection
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