In recent years, consumers have become increasingly concerned about the safety and quality of meat they purchase from supermarkets. A study by Mohammed [1] proposed a RFID (Radio Frequency Identification)-enabled monitoring system for meat supply chains to improve the traceability of meat products throughout their entire supply chain with the aim of maintaining product safety. This paper extends that work to examine the economic feasibility for the proposed RFID-enabled monitoring system. To this aim, a multi-criteria optimization model was developed. The considered criteria were minimizing the total cost, maximizing consumer satisfaction, maximizing product freshness and maximizing profits. In order to obtain Pareto solutions from the developed model, a new solution approach was developed and its results were compared to two traditional solution approaches. A case study was applied conducive to an examination for the applicability of the developed model and the performance of the proposed solution approaches. Results have proved the feasibility of the proposed RFID-enabled monitoring system in terms of economic costs in addition to the capability of the developed optimization model in obtaining a trade-off among the considered criteria.
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机译：近年来，消费者越来越关注从超市购买的肉的安全性和质量。 Mohammed [1]的一项研究提出了一种用于肉类供应链的具有RFID（射频识别）功能的监视系统，旨在提高肉类产品在整个供应链中的可追溯性，以维持产品安全。本文扩展了这项工作，以检查所提出的支持RFID的监视系统的经济可行性。为此，开发了一个多准则优化模型。考虑的标准是最小化总成本，最大化消费者满意度，最大化产品新鲜度和最大化利润。为了从开发的模型中获得Pareto解决方案，开发了一种新的解决方案方法，并将其结果与两种传统的解决方案方法进行了比较。案例研究的应用有助于检查所开发模型的适用性和所提出的解决方案的性能。结果已证明，除了开发的优化模型能够在考虑的标准之间进行权衡取舍外，就经济成本而言，所提出的支持RFID的监视系统也是可行的。
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