AN INNOVATIVE SHELF LIFE MODEL BASED ON SMART LOGISTIC UNIT FOR AN EFFICIENT MANAGEMENT OF THE PERISHABLE FOOD SUPPLY CHAIN
AN INNOVATIVE SHELF LIFE MODEL BASED ON SMART LOGISTIC UNIT FOR AN EFFICIENT MANAGEMENT OF THE PERISHABLE FOOD SUPPLY CHAIN
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DOI：
10.1111/jfpe.12311
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发表时间：
2017-02-01
影响因子：
3
通讯作者：
Micale, R.
中科院分区：
文献类型：
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作者：
La Scalia, G.;Nasca, A.;Micale, R.
尽管最近人们对食品安全和控制很感兴趣，但由于缺乏有效的信息和通信系统，一般难以通过工业食品链确保产品的全面可追溯性。因此，如今，对食品的保护往往止于生产者的大门，而不对消费者所在地的食品质量状况进行任何调查。本文的目的是开发一个基于智能物流单元（SLU）的供应链监控系统，以支持从“农场到餐桌”的食品供应链的综合管理，以保证和控制食品安全和产品的保质期（SL），符合物流效率和系统的可持续性。为此，我们进行了一项研究，涉及选择易腐产品的物流决策的显着影响，确定的设置参数代表其质量和发展的SLU的原型，基于传感器网络监测所确定的参数。最后，一个实验SL模型已被确定，从水果挥发性有机化合物的排放和监测SLU的基础上。我们通过模拟真实的运输条件并评估不同时间间隔产品的残留SL来验证模型。
Despite the recent interest towards food safety and control, it is generally difficult to ensure full products traceability through industrial food chains, due to the lack of efficient information and communication systems. Consequently, nowadays, the protection of food products often ends at the gates of the producer without any investigation about the status of their quality at the consumer's location. The aim of this paper was the development of a supply chain monitoring system based on a smart logistic unit (SLU) to support the integrated management of the food supply chain from "farm to fork" in order to guarantee and control food safety and shelf life (SL) of products in agreement with logistic efficiency and system sustainability. For this purpose we have conducted a research involving the selection of a perishable product significantly affected by logistic decisions, the determination of the set parameters representative of its quality and the development of a prototype of SLU, based on a sensor network for monitoring the identified parameters. Finally, an experimental SL model has been determined, based on the volatile organic compounds emitted from fruits and monitored by the SLU. We have validated the model by simulating real transport conditions and assessing the residual SL of the product at different time intervals.