吉林省原料奶质量安全控制评价研究

发布时间：2018-11-19 14:33

【摘要】：乳制品质量安全一直是全民关注的焦点话题。原料奶作为乳制品供应链的开端,是乳制品质量安全的基础保障。近年来,吉林省奶业发展取得了骄人的成绩,但奶业发展水平较发达省份仍存在很大差距。因此,吉林省奶业发展需从根本出发,全面提升原料奶质量安全,以优质好奶赢得消费者的信赖,进而促进吉林省奶业又好又快的发展。基于供应链理论,分析影响乳制品质量安全的关键控制环节,并以此为基础构建了原料奶质量安全控制评价体系。通过对吉林省原料奶质量安全控制现状的阐述与实证分析,指出影响吉林省原料奶质量安全的关键因素,最后依据结论提出了改进措施。首先运用Kano理论对影响乳制品质量安全的关键环节进行甄别,指出原料奶生产与流通销售是影响乳制品质量安全的两个关键环节。在此基础上,构建了原料奶质量安全控制评价体系,为问卷调查与实地调研奠定了基础。其次,结合调查问卷综合评价了吉林省原料奶质量安全的控制现状。通过BP神经网络与MIV法相结合对吉林省原料奶质量安全控制的实证分析,结果显示饲草饲料质量与结构、奶牛良种化水平、奶牛养殖环境、疾病防疫水平以及挤奶设备卫生是影响吉林省原料奶质量安全的关键控制因素,并以此提出了相应的改进措施。通过大力发展苜蓿产业,优化吉林省饲草饲料结构;加强奶牛良种繁育体系建设,优化奶牛品种结构,提升原料奶品质;规范奶牛养殖场的建设,优化奶牛养殖环境,进而原料奶质量安全提供保障;严格规范兽药的安全使用,并完善疾病预防体系的建立;加强挤奶设备清洗消毒工作,确保原料奶质量安全。
[Abstract]:Dairy products quality and safety has been the focus of attention of the whole people. As the beginning of dairy supply chain, raw milk is the basic guarantee of dairy product quality and safety. In recent years, the development of dairy industry in Jilin Province has made remarkable achievements, but there is still a big gap in the development level of dairy industry in the developed provinces. Therefore, the development of milk industry in Jilin Province should proceed from the root, improve the quality and safety of raw milk in an all-round way, win the trust of consumers with high quality and good milk, and then promote the good and fast development of milk industry in Jilin Province. Based on the supply chain theory, the key control links affecting the quality and safety of dairy products are analyzed, and the evaluation system of the quality and safety of raw milk is constructed. Based on the analysis of the present situation of raw milk quality and safety control in Jilin Province, the key factors affecting the quality and safety of raw milk in Jilin Province are pointed out. Finally, the improvement measures are put forward according to the conclusion. Firstly, Kano theory is used to identify the key links that affect the quality and safety of dairy products, and it is pointed out that the production and circulation of raw milk are the two key links that affect the quality and safety of dairy products. On this basis, the quality and safety control evaluation system of raw milk was constructed, which laid a foundation for questionnaire investigation and field investigation. Secondly, the present situation of quality and safety control of raw milk in Jilin Province was comprehensively evaluated by questionnaire. BP neural network combined with MIV method was used to analyze the quality and safety control of raw milk in Jilin Province. The results showed that the quality and structure of forage feed, the level of dairy cattle breeding and the environment of dairy cattle breeding. The level of disease prevention and milking equipment hygiene are the key control factors affecting the quality and safety of raw milk in Jilin Province, and the corresponding improvement measures are put forward. Through vigorously developing alfalfa industry, optimizing forage structure in Jilin Province, strengthening the construction of breeding system of improved breeds of dairy cattle, optimizing the structure of dairy cattle varieties and improving the quality of raw milk; Standardizing the construction of dairy cattle breeding farm, optimizing the dairy breeding environment, providing guarantee for the quality and safety of raw milk, strictly standardizing the safe use of veterinary drugs, and perfecting the establishment of disease prevention system; Strengthen the cleaning and disinfection of milking equipment to ensure the quality and safety of raw milk.
【学位授予单位】：吉林农业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F322

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