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).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
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.
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).
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.
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.
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.
van Donselaar, K. (1989). Material coordination under uncertainty: Towards more flexible planning concepts.
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.
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.
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.
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-93488-4_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93487-7
Online ISBN: 978-3-319-93488-4
eBook Packages: EngineeringEngineering (R0)