中文摘要：研究以猕猴桃供应链为例分析了以RFID技术为核心的追溯体系的影响。研究建立了一个多目标整数非线性规划模型，该模型考虑了2个功能：（1）将包括运输成本与RFID应用成本在内的总成本控制在最低，（2）当发生食品安全事件时，将认责成本控制在最低。为实现这一目标，研究建立了一种新的PPO算法，并将该算法与著名的NSGA-II（非支配排序遗传）算法进行比较。该研究可通过早期追踪降低供应链中不合格水果出现的概率从而降低认责成本。
外文摘要：Traceability is one of the most important requirements in a fruit supply chain. It helps in keeping a track over the quality, perishability and freshness of the fruits which are the foremost concern for maintaining customer satisfaction. In this paper, we consider a case of kiwifruit supply chain and analyze the impact of traceability using Radio Frequency Identification (RFID) tags. A multi-objective integer non-linear programming model (MOINLP) is formulated considering two objective functions which include (i) minimization of the total costs incorporating logistics costs and costs of implementing RFID tags and (ii) minimization of liability costs on occurrence of contamination. To compute this problem, a newly developed approach of Plant Pollinator Optimization Algorithm (PPO) has been implemented and a comparison with the well-known Non-dominated Sorting Genetic Algorithm-H (NSGA-II) is performed. Insights evolving out of this study can help the Supply Chain Managers in minimizing the risks of delivery of perished fruits by tracing it at an earlier stage and thus reducing the liability costs. (C) 2016 Elsevier Ltd. All rights reserved.
 
外文关键词：NETWORKS; IDENTIFICATION; ALLOCATION; ALGORITHM; PRODUCT
作者：Gautam, R; Singh, A; Karthik, K; Pandey, S; Scrimgeour, F; Tiwari, MK
作者单位：印度理工学院
期刊名称：COMPUTERS & INDUSTRIAL ENGINEERING
期刊影响因子：2.086
出版年份：2017
出版刊次：1
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