Dynamic modularization management of perishable products in supply chain based on information stratification

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Abstract

The qualities of perishable products are significantly influenced by the environment during the circulation process, and environmental factors have a crucial effect on the decay of perishable products. Timely risk control can ensure the safety of perishable products when environmental information in circulation is completely collected. In order to comprehensively collect the environmental information of the perishable products in the supply chain, this study presented a method that extracted the cold chain information according to the independent category and constructs to establish the information dynamic record data collection method and the information integration framework model. Based on the information that could be independently extracted from the cold chain, this study proposed that the data collection of dynamic recording should be conducted and the module framework of information integration should be constructed. By designing and planning the individual module of cold-chain circulation information of perishable products, dynamic data collection and information integration framework were shaped to classify and stratify the key information, and aquatic products in the cold chain were taken as an example to verify the effectiveness and accuracy of the module. Results indicate that 89% of the integrated processing of environmental information can be achieved through the independent module processing of perishable products and dynamic management of information stratification. Meanwhile, information modularization, rate of stratification coverage, and accurate estimation of the shelf life of perishable products exhibit a positive correlation. To some extent, the proposed method provides references for the coldchain risk management and accurate estimation of the shelf life of perishable products.

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APA

Liu, L., Wang, L., Liu, X., Zhu, H., & Wang, H. (2018). Dynamic modularization management of perishable products in supply chain based on information stratification. Journal of Engineering Science and Technology Review, 11(1), 126–137. https://doi.org/10.25103/jestr.111.15

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