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ePedigree Traceability System for the Agricultural Food Supply Chain to Ensure Consumer Health

Author

Listed:
  • Umar Farooq

    (Department of Industrial and Systems Engineering, Dongguk University, Seoul 100-715, Korea)

  • Wu Tao

    (Department of Industrial and Systems Engineering, Dongguk University, Seoul 100-715, Korea)

  • Ganjar Alfian

    (u-SCM Research Center, Nano Information Technology Academy, Dongguk University, Seoul 100-715, Korea)

  • Yong-Shin Kang

    (Department of Systems Management Engineering, SungKyunKwan University, Suwon 16419, Korea)

  • Jongtae Rhee

    (Department of Industrial and Systems Engineering, Dongguk University, Seoul 100-715, Korea)

Abstract

Sustainability relies on the environmental, social and economical systems: the three pillars of sustainability. The social sustainability mostly advocates the people’s welfare, health, safety, and quality of life. In the agricultural food industry, the aspects of social sustainability, such as consumer health and safety have gained substantial attention due to the frequent cases of food-borne diseases. The food-borne diseases due to the food degradation, chemical contamination and adulteration of food products pose a serious threat to the consumer’s health, safety, and quality of life. To ensure the consumer’s health and safety, it is essential to develop an efficient system which can address these critical social issues in the food distribution networks. This research proposes an ePedigree (electronic pedigree) traceability system based on the integration of RFID and sensor technology for real-time monitoring of the agricultural food to prevent the distribution of hazardous and adulterated food products. The different aspects regarding implementation of the proposed system in food chains are analyzed and a feasible integrated solution is proposed. The performance of the proposed system is evaluated and finally, a comprehensive analysis of the proposed ePedigree system’s impact on the social sustainability in terms of consumer health and safety is presented.

Suggested Citation

  • Umar Farooq & Wu Tao & Ganjar Alfian & Yong-Shin Kang & Jongtae Rhee, 2016. "ePedigree Traceability System for the Agricultural Food Supply Chain to Ensure Consumer Health," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:839-:d:76576
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    References listed on IDEAS

    as
    1. Ting, S.L. & Tse, Y.K. & Ho, G.T.S. & Chung, S.H. & Pang, G., 2014. "Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry," International Journal of Production Economics, Elsevier, vol. 152(C), pages 200-209.
    2. Melanie Fritz & Gerhard Schiefer, 2008. "Food chain management for sustainable food system development: a European research agenda," Agribusiness, John Wiley & Sons, Ltd., vol. 24(4), pages 440-452.
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    Cited by:

    1. Shengnan Sun & Xinping Wang & Yan Zhang, 2017. "Sustainable Traceability in the Food Supply Chain: The Impact of Consumer Willingness to Pay," Sustainability, MDPI, vol. 9(6), pages 1-19, June.
    2. Lijing Zhu, 2017. "Economic Analysis of a Traceability System for a Two-Level Perishable Food Supply Chain," Sustainability, MDPI, vol. 9(5), pages 1-16, April.
    3. Abbate, Stefano & Centobelli, Piera & Cerchione, Roberto, 2023. "The digital and sustainable transition of the agri-food sector," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    4. Shaoling Fu & Hua Liu & Kim Hua Tan & Yuanzhu Zhan & Yalan Ding & Wene Qi, 2018. "How Social Capital Affects the Quality Performance of Agricultural Products: Evidence from a Binary Perspective of China," Sustainability, MDPI, vol. 10(9), pages 1-15, August.
    5. Aldona Kluczek & Bartlomiej Gladysz & Krzysztof Ejsmont, 2021. "Application of Lifecycle Measures for an Integrated Method of Environmental Sustainability Assessment of Radio Frequency Identification and Wireless Sensor Networks," Energies, MDPI, vol. 14(10), pages 1-22, May.
    6. Ali Noudoostbeni & Kiran Kaur & Hashem Salarzadeh Jenatabadi, 2018. "A Comparison of Structural Equation Modeling Approaches with DeLone & McLean’s Model: A Case Study of Radio-Frequency Identification User Satisfaction in Malaysian University Libraries," Sustainability, MDPI, vol. 10(7), pages 1-16, July.

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