{"title":"Application of New Method in Location of Logistics Centers","authors":"Shihui Dong, Hongye Xiong, Zhiping Wang, Xu Li","doi":"10.1109/ICACI49185.2020.9177670","DOIUrl":null,"url":null,"abstract":"The logistics center plays an essential role in the modern supply chain. The selection of a suitable logistics center can realize high effectively resource utilization in the surrounding areas. This paper creatively proposed a new method to measure the merits of candidate locations by establishing a two-stage model of Hesitant Fuzzy Preference Relationship (HFPR). In two-stage, the scores of candidate sites under different factors are obtained in the factor stage, and the weights of each criterion are received in the criterion stage. Then, the scores of each candidate site are obtained comprehensively. The method can effectively utilize the information, avoid data loss or distortion because of the standardization. The tight relationship between the two-stages in the model makes it better to solve practical problems. Finally, this paper provided the feasibility of this kind of new method by an example.","PeriodicalId":137804,"journal":{"name":"2020 12th International Conference on Advanced Computational Intelligence (ICACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 12th International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI49185.2020.9177670","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 logistics center plays an essential role in the modern supply chain. The selection of a suitable logistics center can realize high effectively resource utilization in the surrounding areas. This paper creatively proposed a new method to measure the merits of candidate locations by establishing a two-stage model of Hesitant Fuzzy Preference Relationship (HFPR). In two-stage, the scores of candidate sites under different factors are obtained in the factor stage, and the weights of each criterion are received in the criterion stage. Then, the scores of each candidate site are obtained comprehensively. The method can effectively utilize the information, avoid data loss or distortion because of the standardization. The tight relationship between the two-stages in the model makes it better to solve practical problems. Finally, this paper provided the feasibility of this kind of new method by an example.