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Risk Early Warning of Food Quality Safety in Meat Processing Industry

机译:肉类加工行业食品质量安全风险预警

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摘要

In recent years, people’s demand for meat products has increased, but the occurrence of meat food quality and safety problems has also caused irreparable losses to the safety of human lives and properties, and enterprises have lost their reputation. Since the frequent occurrence of food quality and safety incidents is the result of the lack of an early warning mechanism, a large number of problematic foods flow into the market. In order to prevent the occurrence of food quality and safety incidents and control food quality from the source, this article first refers to the results of EFSA’s Emerging Risks Project (EMRISK) and the food safety early warning framework of Kleter and Marvin, combined with the existing meat processing companies. Some quality control systems have put forward an early warning indicator system that includes the external environment of the enterprise, internal risks, and consumers’ concerns. Then, by issuing 500 questionnaires and interviewing 25 experts, 912 pieces of data were collected and a Monte Carlo simulation early warning model was established. Using case studies, taking Shandong Delis Co., Ltd. (Binzhou, China, hereinafter referred to as DLS) as an example, through sensitivity analysis and program analysis, the company’s food risk status and early warning model was evaluated. The results show that the risk of rising consumers’ concerns about counterfeiting and inferior products has the greatest impact on food quality and safety risks, followed by policy adjustment risks, and the risk of raw material sources ranked third. A total of six important risk warning indicators have been extracted, and these six need to be strictly controlled to control the overall risk. The research provides support for companies to formulate food quality monitoring, early warning and management strategies from a macro perspective, and control key early warning indicators in food quality and safety to reduce risks.
机译:近年来,人们对肉类产品的需求增加,但肉类食品质量和安全问题的发生也对人类生活和物业的安全造成了无法弥补的损失,企业已经失去了声誉。由于频繁发生的食品质量和安全事件是缺乏预警机制的结果,因此大量有问题的食物流入市场。为了防止食品质量和安全事故的发生并从来源控制食物质量,本文首先是指EFSA新兴风险项目(EMRISK)的结果和kleter和Marvin的食品安全预警框架,结合了现有的肉类加工公司。一些质量控制系统提出了一个预警指标系统,包括企业的外部环境,内部风险和消费者的担忧。然后,通过发布500名问卷和面试25个专家,收集了912条数据,并建立了一个蒙特卡罗模拟预警模型。使用案例研究,乘坐山东德利斯有限公司(中国滨州,中国,以下简称DLS)作为一个例子,通过敏感性分析和方案分析,评估了公司的食物风险状态和预警模型。结果表明,消费者对伪造和劣质产品的担忧的担忧的风险对食品质量和安全风险的影响最大,其次是政策调整风险,以及原材料来源的风险排名第三。已经提取了六项重要风险警告指标,需要严格控制这六个以控制整体风险。该研究为公司提供了从宏观视角制定食品质量监测,预警和管理策略的支持,并控制食品质量和安全的关键预警指标,以减少风险。

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