{"title":"大数据在物流中的应用","authors":"A. Moldagulova, R. Satybaldiyeva, A. Kuandykov","doi":"10.1145/3410352.3410785","DOIUrl":null,"url":null,"abstract":"This article discusses the prospect of using big data to optimize logistic processes. An analytical model for the collection and analysis of data from various sources was built. Firstly, the evolution and features of both logistics and big data were have been analyzed using the systematic review method. This was followed by discussions about the implementation of big data in logistics and the results of optimization. The article summarizes the main effects of the use of Big Data in logistics such as informatization; efficiency; quality of service; and promoting technical modernization.","PeriodicalId":178037,"journal":{"name":"Proceedings of the 6th International Conference on Engineering & MIS 2020","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Big Data in Logistics\",\"authors\":\"A. Moldagulova, R. Satybaldiyeva, A. Kuandykov\",\"doi\":\"10.1145/3410352.3410785\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article discusses the prospect of using big data to optimize logistic processes. An analytical model for the collection and analysis of data from various sources was built. Firstly, the evolution and features of both logistics and big data were have been analyzed using the systematic review method. This was followed by discussions about the implementation of big data in logistics and the results of optimization. The article summarizes the main effects of the use of Big Data in logistics such as informatization; efficiency; quality of service; and promoting technical modernization.\",\"PeriodicalId\":178037,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Engineering & MIS 2020\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Engineering & MIS 2020\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3410352.3410785\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Engineering & MIS 2020","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3410352.3410785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article discusses the prospect of using big data to optimize logistic processes. An analytical model for the collection and analysis of data from various sources was built. Firstly, the evolution and features of both logistics and big data were have been analyzed using the systematic review method. This was followed by discussions about the implementation of big data in logistics and the results of optimization. The article summarizes the main effects of the use of Big Data in logistics such as informatization; efficiency; quality of service; and promoting technical modernization.
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