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Agribusiness supply chain risk management: A review of quantitative decision models

Behzadi, Golnar and O’Sullivan, Michael Justin and Olsen, Tava Lennon and Zhang, Abraham (2018) 'Agribusiness supply chain risk management: A review of quantitative decision models.' Omega, 79. pp. 21-42. ISSN 0305-0483

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Abstract

Supply chain risk management is a large and growing field of research. However, within this field, mathematical models for agricultural products have received relatively little attention. This is somewhat surprising as risk management is even more important for agricultural supply chains due to challenges associated with seasonality, supply spikes, long supply lead-times, and perishability. This paper carries out a thorough review of the relatively limited literature on quantitative risk management models for agricultural supply chains. Specifically, we identify robustness and resilience as two key techniques for managing risk. Since these terms are not used consistently in the literature, we propose clear definitions and metrics for these terms; we then use these definitions to classify the agricultural supply chain risk management literature. Implications are given for both practice and future research on agricultural supply chain risk management.

Item Type: Article
Uncontrolled Keywords: Agribusiness supply chain; Risk management; Robust; Resilient
Divisions: Faculty of Social Sciences
Faculty of Social Sciences > Essex Business School
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 17 Nov 2020 14:52
Last Modified: 06 Jan 2022 14:13
URI: http://repository.essex.ac.uk/id/eprint/27965

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