عنوان انگلیسی مقاله:
Risk assessment of agricultural supermarket supply chain in big data environment
ترجمه فارسی عنوان مقاله:
ارزیابی ریسک زنجیره تأمین سوپرمارکت های کشاورزی در محیط داده های کلان
Sciencedirect - Elsevier - Sustainable Computing: Informatics and Systems, 28 (2020) 100420: doi:10:1016/j:suscom:2020:100420
Article history:Received 20 November 2019Received in revised form 30 June 2020 Accepted 14 July 2020Available online 16 July 2020Keywords:Big dataAgricultural super-docking Supply chainRisk analysisWith the application of big data in all walks of life, big data thinking is effectively improving the cir- culation efﬁciency of agricultural products supply chain by driving management changes in business decision-making and f¨armer-supermarket dockinga¨ s an innovative mode of agricultural products circu- lation. Based on the current situation of China’s agricultural supermarket supply chain development, this paper makes an in-depth study on the supply chain risk of agricultural products of large retail enterprises under the mode of a¨ gricultural supermarket docking¨, and then introduces the agricultural supermarket docking supply chain under the big data environment. This paper uses big data to analyze the risks that may arise in the supply chain of a¨ gricultural supermarket docking¨in large retail enterprises. This paper from the aspects of production, processing, distribution, retail and consumption, introduces the new risks of agricultural supermarket supply chain after introducing big data. Secondly, Qualitative analysis and quantitative calculation are combined to conduct risk assessment. Through empirical analysis, the ranking of all risk factors is obtained, and the relevant fuzzy evaluation grade and risk evaluation criteria are given. Through expert evaluation, a new risk ranking is also obtained, which is not much different from the results of empirical analysis, and the empirical results are also veriﬁed. Therefore, develop this study is helpful to prevent the risk of agricultural supermarket supply chain connection. At the same time, the information integration, sharing and feedback of the big database provide a new idea for the optimization of the supply chain connecting agricultural production.it also has reference signiﬁcance for other supply chain risk management.© 2020 Elsevier Inc. All rights reserved.
Keywords: Big data | Agricultural super-docking | Supply chain | Risk analysis