A conceptual framework for crop-based agri-food supply chain characterization under uncertainty

M. M.E. Alemany*, Ana Esteso, A. Ortiz, J. E. Hernández, A. Fernández, A. Garrido, J. Martín, S. Liu, G. Zhao, C. Guyon, R. Iannacone

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Crop-based Agri-food Supply Chains (AFSCs) are complex systems that face multiple sources of uncertainty that can cause a significant imbalance between supply and demand in terms of product varieties, quantities, qualities, customer requirements, times and prices, all of which greatly complicate their management. Poor management of these sources of uncertainty in these AFSCs can have negative impact on quality, safety, and sustainability by reducing the logistic efficiency and increasing the waste. Therefore, it becomes crucial to develop models in order to deal with the key sources of uncertainty. For this purpose, it is necessary to precisely understand and define the problem under study. Even, the characterisation process of this domains is also a difficult and time-consuming task, especially when the right directions and standards are not in place. In this chapter, a Conceptual Framework is proposed that systematically collects those aspects that are relevant for an adequate crop-based AFSC management under uncertainty.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer
Pages19-33
Number of pages15
DOIs
Publication statusPublished - 2021

Publication series

NameStudies in Systems, Decision and Control
Volume280
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Automotive Engineering
  • Social Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Control and Optimization
  • Decision Sciences (miscellaneous)

Keywords

  • Conceptual framework
  • Crop-based agri-food supply chain
  • Management
  • Uncertainty

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