Han Tiaojuan, Lu Jianfeng, Zhang Hao, Zhao Rongyong
{"title":"Online Evaluation of Service Capacity of Construction Machinery Suppliers","authors":"Han Tiaojuan, Lu Jianfeng, Zhang Hao, Zhao Rongyong","doi":"10.1109/ICACMVE.2019.00070","DOIUrl":null,"url":null,"abstract":"The Internet has promoted the development of the sharing economy, and construction machinery is usually leased because of its high price and single use. In order to find a suitable supplier, it is necessary to evaluate the supplier according to information of construction machinery from the Internet platform. This paper proposes a method to select construction machinery suppliers by real-time and historical data. Firstly, the evaluation index of construction machinery quality is established. Secondly, the weight of each index is determined by entropy AHP. Thirdly, the service capabilities of each supplier are sorted by grey correlation analysis. Finally, we take ten excavator suppliers as example, and illustrate the basic steps of the quality evaluation of construction machinery. Further, this evaluation method also provides reference for selecting cloud service provider and matching service.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACMVE.2019.00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Internet has promoted the development of the sharing economy, and construction machinery is usually leased because of its high price and single use. In order to find a suitable supplier, it is necessary to evaluate the supplier according to information of construction machinery from the Internet platform. This paper proposes a method to select construction machinery suppliers by real-time and historical data. Firstly, the evaluation index of construction machinery quality is established. Secondly, the weight of each index is determined by entropy AHP. Thirdly, the service capabilities of each supplier are sorted by grey correlation analysis. Finally, we take ten excavator suppliers as example, and illustrate the basic steps of the quality evaluation of construction machinery. Further, this evaluation method also provides reference for selecting cloud service provider and matching service.