{"title":"Research of Logistics Time Performance Evaluation Based on Linguistic Variables, a Case Study of Urgent Transportation between China and Thailand","authors":"Binglei Wang, Wei Li","doi":"10.4236/ojbm.2023.116159","DOIUrl":null,"url":null,"abstract":"While the world economy has become increasingly regionalized, the trade volume between China and ASEAN has grown significantly. However, the logistics performance is not developing synchronously, and the situation is unsatisfactory. This paper takes the urgent transportation between China and Thailand as an example, and proposes a model of time-based performance evaluation. The model presents an approach to fuzzy algorithms on linguistic variables based on analyzing the main influencing factors. Thus, it is practical when accurately measurable data is unavailable, and it can also be used to select a relatively optimal solution from several alternatives.","PeriodicalId":499878,"journal":{"name":"Open Journal of Business and Management","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Journal of Business and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4236/ojbm.2023.116159","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
While the world economy has become increasingly regionalized, the trade volume between China and ASEAN has grown significantly. However, the logistics performance is not developing synchronously, and the situation is unsatisfactory. This paper takes the urgent transportation between China and Thailand as an example, and proposes a model of time-based performance evaluation. The model presents an approach to fuzzy algorithms on linguistic variables based on analyzing the main influencing factors. Thus, it is practical when accurately measurable data is unavailable, and it can also be used to select a relatively optimal solution from several alternatives.