Abstract

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.

Highlights

  • Meat supply chains are a methodical connotation that constitute generally from four different echelons including farms, abattoirs, retailers and consumers

  • In the last few decades, increased safety and quality concerning meat purchased by consumers has been demanded in the UK [2, 3]. This refers to particular rules that should be maintained throughout the meats’ entire supply chain including feeding and health of livestock, and method of slaughtering process at abattoirs [4]; Different commitments lead to a guide to decision making when purchasing types of meat

  • To the best of our knowledge, little or no research has been presented so far investigating the RFID-enabled supply chains seeking a compromise between the benefits of the RFID implementation in supply chains and its need for additional costs along with the supply chain network design. This paper addresses this gap in the literature. It considers the proposed RFID-enabled three-echelon meat supply chain seeking a compromise among four criteria including total cost, consumer satisfaction in terms of percentage of satisfying consumers’ demand, product freshness in terms of the number of fresh meat products as a result for the proposed RFID-enabled monitoring system and profits as a fourth criterion

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Summary

Introduction

Meat supply chains are a methodical connotation that constitute generally from four different echelons including farms, abattoirs, retailers and consumers. This paper addresses this gap in the literature It considers the proposed RFID-enabled three-echelon meat supply chain seeking a compromise among four criteria including total cost, consumer satisfaction in terms of percentage of satisfying consumers’ demand, product freshness in terms of the number of fresh meat products as a result for the proposed RFID-enabled monitoring system and profits as a fourth criterion. To this aim, a multi-criteria mixed integer linear programming model was developed to simultaneously optimize the considered criteria. Feasibility of their food supply chains in implementing the RFID technology

Related studies
Modeling the HMSC
Notations
Optimization criteria
Defining the constraints
Solution approach
Application and evaluation
Computational Results and comparison
Conclusions
Full Text
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