中文摘要：基于雾计算、智能价值流法提高食品溯源信息物理系统协同性的研究
外文摘要：Good advanced food traceability systems help to minimize unsafe or poor quality products in food supply chain through value-based process. From the emerging technologies forthcoming for industry automation, future advanced food traceability system must consider not only cyber physical system (CPS) and fog computing but also value-added business in food supply chain. Accordingly, this study presents a novel intelligent value stream-based food traceability cyber physical system approach integrated with enterprise architectures, EPCglobal and value stream mapping method by fog computing network for traceability collaborative efficiency. Furthermore, the proposed intelligent approach explores distributive and central traceable stream mechanism in assessing the most critical traceable events for tracking and tracing process. Successful case study, software system design and implementation demonstrated the performance of the proposed approach. Furthermore, experiment shows the better results obtained after the simulation execution for intelligent predictive algorithm.
外文关键词：Food traceability system；Cyber physical system；Fog computing；Value stream mapping
作者：Chen, RY
作者单位：台湾真理大学
期刊名称：FOOD CONTROL
期刊影响因子：3.388
出版年份：2016
出版刊次：6
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