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Tracking, tracing, and business process interests in food commodities: A multi-level decision complexity

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  • Fritz, Melanie
  • Schiefer, Gerhard
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    Abstract

    The ability for tracking and tracing activities has become a common feature in supply chains not the least because of quality assurance and product liability considerations. Furthermore, food safety concerns have put tracking and tracing at the centre point of discussions on the development of a competitive and sustainable food production. However, in commodities and especially in food commodities, the establishment of tracking and tracing capabilities meets many barriers that have prevented their broad based use beyond what is legally required. Characteristics in the food sector as well as the nature of food commodity products may result in unfavourable cost-benefit considerations at enterprise levels. The view is different at sector and policy levels which creates a complex decision situation. The paper develops a suitable tracking and tracing process and decision model which also supports the understanding of the deadlock the sector is in. The decision situation for enterprises and the sector is summarized in a cost-benefit decision table that provides a framework for future developments.

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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 117 (2009)
    Issue (Month): 2 (February)
    Pages: 317-329

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    Handle: RePEc:eee:proeco:v:117:y:2009:i:2:p:317-329

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    Web page: http://www.elsevier.com/locate/ijpe

    Related research

    Keywords: Tracking and tracing Food commodities Decision support;

    References

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    1. Fulponi, Linda, 2006. "Private voluntary standards in the food system: The perspective of major food retailers in OECD countries," Food Policy, Elsevier, vol. 31(1), pages 1-13, February.
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    Cited by:
    1. Brofman Epelbaum, Freddy Moises & Garcia Martinez, Marian, 2014. "The technological evolution of food traceability systems and their impact on firm sustainable performance: A RBV approach," International Journal of Production Economics, Elsevier, vol. 150(C), pages 215-224.
    2. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline.M. & Meuwissen, Miranda P.M. & van der Vorst, Jack G.A.J., 2012. "A Review on Quantitative Models for Sustainable Food Logistics Management," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2).
    3. Seyoum, Bruk Tefera & Adam, Brian D. & Ge, Candi, 2013. "The Value of Genetic Information in a Whole-Chain Traceability System for Beef," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150458, Agricultural and Applied Economics Association.
    4. Hassini, Elkafi & Surti, Chirag & Searcy, Cory, 2012. "A literature review and a case study of sustainable supply chains with a focus on metrics," International Journal of Production Economics, Elsevier, vol. 140(1), pages 69-82.
    5. Resende Filho, Moises de Andrade & Buhr, Brian L., 2012. "Economics of Traceability for Mitigation of Food Recall Costs," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126193, International Association of Agricultural Economists.
    6. Lehmann, Richard J. & Fritz, Melanie & Schiefer, Gerhard, 2011. "Information Reference Models for European Pork Supply Networks," 2011 International European Forum, February 14-18, 2011, Innsbruck-Igls, Austria 122014, International European Forum on Innovation and System Dynamics in Food Networks.
    7. Beske, Philip & Land, Anna & Seuring, Stefan, 2014. "Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature," International Journal of Production Economics, Elsevier, vol. 152(C), pages 131-143.
    8. Piramuthu, Selwyn & Farahani, Poorya & Grunow, Martin, 2013. "RFID-generated traceability for contaminated product recall in perishable food supply networks," European Journal of Operational Research, Elsevier, vol. 225(2), pages 253-262.
    9. Wang, X. & Li, D. & O'brien, C. & Li, Y., 2010. "A production planning model to reduce risk and improve operations management," International Journal of Production Economics, Elsevier, vol. 124(2), pages 463-474, April.

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