Min Chen, Wang Zhichuan, Haoyu Zhu, Jingyi Xia, Xiaoguang Yue
{"title":"基于数据仿真的农产品供应链系统动力学研究","authors":"Min Chen, Wang Zhichuan, Haoyu Zhu, Jingyi Xia, Xiaoguang Yue","doi":"10.1145/3584748.3584758","DOIUrl":null,"url":null,"abstract":"To explore the risks and opportunities brought by the development and utilization of big data to the supply chain of agricultural products. In this paper, the impact factors of three dimensions: supply risk, production management risk and market risk are selected, and on the basis of questionnaire survey, SPSS is used to test the reliability and validity, and the inclusion is constructed Big data analysis of sales data, analysis of big data warehousing and distribution data, and system dynamics model of agricultural product supply chain under big data distribution. And through the simulation of the system dynamics model, it is finally concluded that in terms of promoting the wide application of big data technology, it is of great significance to strengthen the development and utilization of the big data platform for warehousing and distribution, and to make full use of it in the supply and production management links.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"84 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on System Dynamics of Agricultural Products Supply Chain Based on Data Simulation\",\"authors\":\"Min Chen, Wang Zhichuan, Haoyu Zhu, Jingyi Xia, Xiaoguang Yue\",\"doi\":\"10.1145/3584748.3584758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To explore the risks and opportunities brought by the development and utilization of big data to the supply chain of agricultural products. In this paper, the impact factors of three dimensions: supply risk, production management risk and market risk are selected, and on the basis of questionnaire survey, SPSS is used to test the reliability and validity, and the inclusion is constructed Big data analysis of sales data, analysis of big data warehousing and distribution data, and system dynamics model of agricultural product supply chain under big data distribution. And through the simulation of the system dynamics model, it is finally concluded that in terms of promoting the wide application of big data technology, it is of great significance to strengthen the development and utilization of the big data platform for warehousing and distribution, and to make full use of it in the supply and production management links.\",\"PeriodicalId\":241758,\"journal\":{\"name\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"volume\":\"84 11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3584748.3584758\",\"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 2022 5th International Conference on E-Business, Information Management and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584748.3584758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on System Dynamics of Agricultural Products Supply Chain Based on Data Simulation
To explore the risks and opportunities brought by the development and utilization of big data to the supply chain of agricultural products. In this paper, the impact factors of three dimensions: supply risk, production management risk and market risk are selected, and on the basis of questionnaire survey, SPSS is used to test the reliability and validity, and the inclusion is constructed Big data analysis of sales data, analysis of big data warehousing and distribution data, and system dynamics model of agricultural product supply chain under big data distribution. And through the simulation of the system dynamics model, it is finally concluded that in terms of promoting the wide application of big data technology, it is of great significance to strengthen the development and utilization of the big data platform for warehousing and distribution, and to make full use of it in the supply and production management links.