A webGIS-based system for real time shelf life prediction
A webGIS-based system for real time shelf life prediction
复制标题
DOI：
10.1016/j.compag.2016.07.004
复制
发表时间：
2016-09
期刊：
影响因子：
--
通讯作者：
R. Sciortino;R. Micale;M. Enea;G. L. Scalia
中科院分区：
文献类型：
--
作者：
R. Sciortino;R. Micale;M. Enea;G. L. Scalia
货架期预测和最小货架期先出库存策略是易腐食品供应链中减少质量损失和经济损失的重要因素，尤其是配送环节是易腐食品供应链管理的关键环节之一，只有引入监控程序才能减少食品损失。文献显示了几种数学模型，用于分析使用环境/产品参数的食品质量变化。然而，这些模型可以是非常有用的决策支持工具，只有当上述参数可以在真实的time.This本文的重点技术和应用程序，以获取和监测产品货架寿命的变化，使用不同的SL预测模型。本文以草莓的模拟运输为例，利用一个智能物流单元的原型系统，该原型系统配备了GPS模块，用于对运输车进行真实的时间定位，通过3G连接作为远程质量监控的通信系统，并基于四种不同的模型提出了一种货架期预测算法，并在WebGIS平台上实现。
Shelf-life (SL) prediction and Least Shelf-life First Out (LSFO) stock strategy are important factors in perishable food supply chain in order to reduce quality and economic losses.In particular, distribution represents one of the main critical phases in logistic chain management and only the introduction of monitoring procedure can allow a reduction in food losses. Literature shows several mathematical models for analysing the changes in food quality using environmental/product parameters. However, these models can be very useful decision support tools only if the abovementioned parameters can be processed in real time.This paper focuses on technologies and applications to acquire and monitor changes in product shelf life using different SL predictive models. The paper includes a case study on a simulated transportation of strawberries, using a prototype of Smart Logistic Unit equipped with a GPS module for real time positioning of the truck, a 3G connection as communication system for remote quality supervision, and a shelf life prediction algorithm based on four different models and implemented on a webGIS platform.