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Identifying the Main Uncertainties in the Agri-Food Supply Chain

Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)

Abstract

Change in products, process, technology and markets are significantly contributing to an increase in the uncertainty level of the Supply Chain. The result is that the companies must take decisions with less information or more ambiguous, on shorter times and with higher penalty costs. In the agri-food sector, managing the uncertainty is especially important, not only to control the effects of these factors, but also because it is a sector characterized by the existence of large sources of uncertainty throughout the process, from the growing in the countryside to the conservation in the retailers’ shelves, with perishable products, special transport requirements or treatment of products that can suppose health risks. In this paper, a framework of analysis is presented to evaluate the impact of the sources of uncertainty on three key aspects (quantity, quality and time) for each of the stages of AF-SC and at each decision level (strategic, tactical and operational).

Keywords

  • Uncertainty sources
  • Agri-food supply chain
  • Decisional levels

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References

  • Bachev, H. (2013). Risk management in the agri-food sector. Contemporary Economics, 7(1), 45–62. https://doi.org/10.5709/ce.1897-9254.73.

    CrossRef  Google Scholar 

  • Ganeshan, R., Jack, E., Magazine, M. J., & Stephens, P. (1999). A taxonomic review of supply chain management research. In S. Tayur, R. Ganeshan, & M. J. Magazine (Eds.), Quantitative models for supply chain management (pp. 839–879).

    Google Scholar 

  • Mor, R. S., Singh, S., Bhardwaj, A., & Singh, L. (2015). Technological implications of supply chain practices in agri-food sector—A review. International Journal of Supply and Operations Management, 2(2), 720–747.

    Google Scholar 

  • Silver, E. A. (1991). Modelling in support of continuous improvements towards achieving world class operations. In R. K. Sarin (Ed.), Perspectives in operations management. Kluwer.

    Google Scholar 

  • Verdouw, C. N., Beulens, A. J. M., Trienekens, J. H., & Wolfert, J. (2010). Process modelling in demand-driven supply chains: A reference model for the fruit industry. Computers and Electronics in Agriculture, 73(2), 174–187. https://doi.org/10.1016/j.compag.2010.05.005.

    CrossRef  Google Scholar 

  • van Donselaar, K. (1989). Material coordination under uncertainty: Towards more flexible planning concepts.

    Google Scholar 

  • van der Vorst, J. G. A. J. (2000). Effective food supply chains generating, modelling and evaluating supply chain scenarios. Wageningen University. ISBN 90-5808-261-X.

    Google Scholar 

  • van der Vorst, J. G. A. J., Beulens, A. J. M., de Wit, W., & van Beek, P. (1998). Supply chain management in food chains: improving performance by reducing uncertainty. International Transactions in Operational Research, 5(6), 487–499. https://doi.org/10.1111/j.1475-3995.1998.tb00131.x.

    CrossRef  Google Scholar 

  • Wilding, R. (1998). The supply chain complexity triangle: Uncertainty generation in the supply chain. International Journal of Physical Distribution & Logistics Management, 28(8), 599–616. https://doi.org/10.1108/09600039810247524.

    CrossRef  Google Scholar 

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Acknowledgements

Authors of this publication acknowledge the contribution of the Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems (www.ruc-aps.eu), funded by the European Union under its funding scheme H2020-MSCA-RISE-2015.

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Correspondence to F. Alarcón .

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Ortiz, A., Alarcón, F., Pérez, D., Alemany, M.M.E. (2019). Identifying the Main Uncertainties in the Agri-Food Supply Chain. In: Mula, J., Barbastefano, R., Díaz-Madroñero, M., Poler, R. (eds) New Global Perspectives on Industrial Engineering and Management. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93488-4_25

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  • DOI: https://doi.org/10.1007/978-3-319-93488-4_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93487-7

  • Online ISBN: 978-3-319-93488-4

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