大数据环境下农超对接供应链风险评价与控制

发布时间：2018-06-23 20:16

本文选题：大数据 + 农超对接供应链　；参考：《江西财经大学》2017年硕士论文

【摘要】：伴随着人们对大数据认识的不断深入,大数据的应用在各行各业不断渗透,大数据思维正通过驱动经营决策的管理变革、商业模式的创新、运营管理的提升、科技创造的进步等多种方式为社会主体创造新的价值源泉。农超对接是近几年我国提倡和发展的重要农产品流通方式,而农超对接风生水起的背后,却难掩农超对接供应链叫苦不迭的现实。农超对接供应链遇到不少痛点,如供需分散、产品非标准化、链条中断、物流成本高,严重限制了农超对接的正常发展。大数据的应用,能在很大程度上实现整条供应链的数据共享,将有效解决这些问题。大数据在给农超对接供应链带来便利的同时,也不可避免的带来了新风险。本文旨在分析大数据环境下农超对接供应链的基础上,研究新环境下农超对接供应链的风险识别、风险评价和风险控制三个方面。首先,本文在研究背景中对农超对接的背景进行了介绍,并对国内外大数据应用、农超对接、农产品供应链、供应链风险管理都进行了综述。接着对传统农产品供应链、传统农超对接供应链都进行了相关介绍,过渡到对大数据环境下农超对接供应链的介绍,其中分为五个环节,即生产环节、加工环节、配送环节、零售环节、销售环节。另外,分析了农超对接供应链存在的问题,大数据应用后的好处,并从生产环节、加工环节、配送环节、零售环节、销售环节五个方面对风险进行识别,其中包括传统环境下已存在的风险及大数据引进之后带来的新风险。其次,本文采用定性分析和定量计算相结合的方式来进行风险评价。与已有文献不同的是,本文通过实证分析的方法,通过对农民专业合作社、超市和消费者相关的人员方法问卷,得出所有风险因素的排序,很好的客服了主观排除影响小和概率较小的缺陷;然后对排在前十的风险因素用FLINMAP法进行评价,给出了相关的模糊评价等级和风险评价的标准,通过专家评价,也得出了新的风险排序,与实证分析结果相差不大,也对实证结果的进行了验证。再次,对农超对接供应链进行风险控制。主要以演化博弈的方法为主,把农户和超市利益看做衡量农超对接供应链稳定性的标准,分析了传统风险和大数据引进的风险带来后对农超对接供应链稳定性的影响,从实现农超对接双方利益的最大化目的的角度,得出了理性的风险控制措施。
[Abstract]:With the deepening of people's understanding of big data, the application of big data has been permeated in all walks of life. Big data thinking is driving the management reform of management decision, the innovation of business model, the promotion of operation management. The progress of science and technology creates a new source of value for social subjects. Agricultural super docking is an important agricultural product circulation mode advocated and developed in our country in recent years, but it is difficult to hide the reality of agricultural super docking supply chain. There are many pain points in the supply chain, such as the dispersion of supply and demand, the non-standardization of products, the interruption of chain and the high cost of logistics, which seriously limit the normal development of agricultural docking. The application of big data can realize the data sharing of the whole supply chain to a great extent, which will solve these problems effectively. Big data not only brings convenience to supply chain, but also inevitably brings new risks. The purpose of this paper is to study the risk identification, risk evaluation and risk control of the agricultural super docking supply chain under the new environment based on the analysis of the supply chain in the big data environment. First of all, this paper introduces the background of agricultural super docking in the research background, and summarizes the application of big data, agricultural supply chain, supply chain risk management at home and abroad. Then the traditional agricultural product supply chain, the traditional agricultural supply chain, the transition to the big data environment of agricultural supply chain introduction, which is divided into five links, that is, production, processing, distribution, Retail link, sales link. In addition, the paper analyzes the problems existing in the supply chain, the benefits of the application of big data, and identifies the risks from five aspects: production, processing, distribution, retail and sales. These include the existing risks in the traditional environment and the new risks brought about by the introduction of big data. Secondly, this paper uses qualitative analysis and quantitative calculation to carry out risk assessment. Different from the existing literature, this paper through the empirical analysis method, through the farmers' professional cooperatives, supermarkets and consumers related to the personnel method questionnaire, the ranking of all risk factors, Very good customer service, subjective elimination of small impact and small probability of defects; then the top 10 risk factors were evaluated by FLINMAP method, given the relevant fuzzy evaluation level and risk evaluation criteria, through expert evaluation, The new risk ranking is also obtained, which is not different from the empirical analysis results, and the empirical results are verified. Thirdly, we control the risk of agricultural supply chain. Based on the evolutionary game, the interests of farmers and supermarkets are regarded as the standard to measure the stability of the supply chain, and the influence of the traditional risk and the risk introduced by big data on the stability of the supply chain is analyzed. The rational risk control measures are obtained from the view of maximizing the interests of both parties.
【学位授予单位】：江西财经大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F326.6;F721.7

【参考文献】