文献类型：期刊文献

中文题名：猪肉冷链物流感官质量控制图设计与应用'

英文题名：Design and Application of Control Charts in Pork Sensory Quality during Cold Chain Logistics

作者：刘寿春[1,2];赵春江[1,2];杨信廷[2];钱建平[2];王国利[1];钟赛意[3]

机构：[1]国家农产品现代物流工程技术研究中心,济南250103;[2]北京农业信息技术研究中心,北京100097;[3]广东海洋大学食品科技学院,湛江524005

年份：2014

卷号：45

期号：7

起止页码：177

中文期刊名：农业机械学报

外文期刊名：Transactions of the Chinese Society for Agricultural Machinery

收录：CSTPCD、、北大核心2011、EI(收录号：20143017975990)、Scopus(收录号：2-s2.0-84904383507)、北大核心、CSCD、CSCD2013_2014

基金：'十二五'国家科技支撑计划资助项目(2013BAD19B04);泰山学者建设工程专项经费资助项目

语种：中文

中文关键词：冷却猪肉;冷链物流;感官特征;控制图

外文关键词：Chilled pork Cold chain logistics Sensory characteristics Control chart

中文摘要：为观测猪肉冷链物流过程中产品的感官质量变化,分析了物流过程猪肉的感官特征,采用敏感性和回归分析获得感官评价的关键指标,进而设计质量控制图展示感官特征的波动性。结果表明:配送中心、近距离超市和远距离超市的感官品质总体上差异显著;颜色是评价总体可接受性的敏感指标,设计其均值-标准差控制图;配送中心的感官质量波动较大,过程能力指数偏低,需对配送中心的质量管理加以完善。均值-标准差控制图可直观展现物流过程产品质量的波动性和合格率,为监控猪肉冷链物流过程的外观品质变化提供了科学的管理方法。

外文摘要：In order to scientifically monitor sensory quality changes of chilled pork during cold chain logistics, the sensory characteristics of pork samples from distribution center, short-distance supermarket and long-distance supermarket during the progress of cold chain logistics were investigated, including odor, color, springiness, cooking odor and overall acceptability of pork samples. The distribution and the probability of different sensory indicators scores were studied by normality test. The key evaluation indicators was obtained by using sensitivity analysis and regression analysis, then according to its data distribution characteristics and its diagnostic value to overall acceptability, the control charts were designed to visualize the fluctuation of sensory characteristics distinctly. The results showed that： overall, there were significant difference in the sensory quality of pork samples from distribution centers, short- distance supermarket and long-distance supermarket; color is the sensitive indicator to evaluate overall acceptability, and its mean-standard deviation control chart were designed; there were more sensory quality fluctuations in distribution center, and its process capability index was lower, thus it was need tO improve quality management. The product quality fluctuation and its qualified ratio were distinctly visualized by mean-standard deviation control chart, and it would provide scientific management method for monitoring pork appearance changes in cold chain logistics.