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 extracted common factors indicate the nature of the studied object in a most direct way. 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 illustrate the validity and feasibility of the method. The results can help urban rail transit companies improve their existing supplier selection method.
Highlights
In recent years, China has accelerated the urbanization process, which has led to urban population growth. is has raised people’s living standards on the one hand, but on the other hand, the expansion of cities will increase bus service usage, the average travel distance, and commuting time
Based on the above problems, we know that the supplier selection process is filled with ambiguity and uncertainty. erefore, this paper introduces an intuitionistic fuzzy factor analysis model to deal with the above problems
Unforeseen factors existing in construction and operation, such as the uncontrollable weather and incomplete decision information, increase the purchasing management risk of urban rail transit projects, which adds further to the complexity of supplier selection
Summary
China has accelerated the urbanization process, which has led to urban population growth. is has raised people’s living standards on the one hand, but on the other hand, the expansion of cities will increase bus service usage, the average travel distance, and commuting time. Due to the large number of types of subway project equipment and wide cross-disciplinary scope, the expert group who evaluates subway suppliers is affected by the knowledge level, historical experience and personal preference, and other influences. Erefore, how to reduce the impact of these uncertainties and complexity for the selection of subway equipment suppliers, use suitable tools to describe the evaluation information, and construct a model suitable for subway equipment suppliers is very valuable for subway companies. To cope with these problems, this paper builds a scientific evaluation indicator system for urban rail transit projects and introduces an intuitionistic fuzzy factorial analysis model within a random environment.
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