刘 璐, 岳 峻, 张 健, 傅泽田. 水产品冷链管理决策模型的构建[J]. 农业工程学报, 2010, 26(8): 379-384.
    引用本文: 刘 璐, 岳 峻, 张 健, 傅泽田. 水产品冷链管理决策模型的构建[J]. 农业工程学报, 2010, 26(8): 379-384.
    Construction of cold chain decision support system for aquatic products[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(8): 379-384.
    Citation: Construction of cold chain decision support system for aquatic products[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(8): 379-384.

    水产品冷链管理决策模型的构建

    Construction of cold chain decision support system for aquatic products

    • 摘要: 为了解决目前水产品冷链信息管理中缺乏对冷链环境信息与水产品品质信息的关联性综合分析的问题,该文以水产品冷链信息为研究对象,将加工、仓储与运输信息分解成为事件与状态集合,并引入时间、温度信息设计数据结构对事件与状态信息进行定义与描述。采用状态与事件分离的描述形式,对决策信息进行操作规范与品质评价的判定。针对冷链信息进行了时间、温度标志,分别建立阈值判断作为操作安全的决策模型和品质评价模型。最后,以罗非鱼冷链物流过程为例,构建冷链信息决策方案,将罗非鱼的品质划分为5个区间进行分析。选择罗非鱼品质的第四区间(0.2~0.4)作为其品质安全的参考值,罗非鱼的保质期为18 d,与实际保质期17.13 d相比误差较小。结果表明,将冷链环境数据与水产品品质信息相结合,对水产品品质在冷链流通的全过程进行分析与评价,可以对水产品冷链信息进行有效的管理,为水产品冷链的安全做出决策提供了依据。

       

      Abstract: To solve the lack of analysis of the relationship between the environmental information and the quality information for the fish in the cold chain, this paper takes the information of aquatic product cold-chain logistics as application object, which could be decomposed into two sets of events and status parameters by the time-temperature data to describe the information during processing, storage and transportation. The decision support information could be acquired by applying this description by the events and states data sets. A diagnostic threshold model for operation standerd criteria and a quality evaluation method according to the time-temerature were proposed to meet the safety analysis of the cold chain. At last, takeing the cold chain logistics of Tilapia as example, the decision-making program of cold chain was constructed. The quality of tilapia could be divided into 5 intervals. Selecting the fourth interval (0.2-0.4) as the safe quality of tilapia by the model, the shelf life of tilapia was 18 days, which was compared with the actual shelf life for 17.13 days by less errors.The results showed that the information of cold chain could be managed effectively by this information analysis method.

       

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