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Transactions on Machine Design (TMD)
 

Performance Evaluation of High-speed Railway Construction Projects Based on Combinatorial Weighting and Mutation Progression Method
Yunyun Wang
School of Management, Wuhan University of Technology 430070 Wuhan Hubei P. R. China
Abstract: To promote sustainable development of performance evaluation of high-speed railway construction projects, to summarize the gains and losses of construction projects in time, and to further improve project management, project quality and fund use efficiency, the performance evaluation index system is designed and developed. It’s based on existing theoretical research results and domestic and foreign practical experience, according to the personalized characteristics of highspeed railway construction projects. Combined with entropy method, CRITIC (Criteria Importance Though Intercrieria Correlation) method and catastrophe theory, a performance evaluation model of high-speed railway construction project is constructed by combining weighted and catastrophe sequence. The main idea of this evaluation method is to get combined weights of each index by combining the entropy evaluation method with subjective and objective factors, and then it judges the performance level of high-speed railway construction projects by combining mutation sequence method. The example analysis shows that performance of high-speed railway construction projects is mainly reflected in three stages, namely design and construction, completion acceptance and operation and maintenance. It indicates that the evaluation index system is suitable for performance evaluation of projects under construction and completed projects, and has a positive promoting role in improving implementation effect and influence of railway construction projects, and has potential popularization and application value.
Keywords: High-speed Railway, Construction Projects, Performance Evaluation, Entropy Method, Mutation Progression Method Performance Evaluation of High-speed Railway Construction Projects Based on Combinatorial Weighting and Mutation Progression Method
DOI:https://doi.org/10.6025/tmd/2024/12/1/32- 46
Full_Text   PDF 2.25 MB   Download:   25  times
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