A Systemic Approach for Risk and Resilience Assessment of Food Supply Chains
type: CreativeWork
description: The food supply chain system is a network of activities and processes involved in producing, distributing, and delivering food products from their sources to consumers. The internal operations and the external environment in which the system functions create a dynamic that can lead to disturbances in the flow of materials, information, and financial resources. Employing a proactive and effective risk management system is crucial for achieving smooth performance, particularly for supply chains with perishable products. Improving safety and reliability within the food supply chain were two significant dimensions frequently covered through prior research studies. However, the complex interrelationship between elements of food supply chain systems influenced by risk events and their dynamic feedback has received little attention in previous literature. Adopting a new technique that goes beyond the traditional risk assessment method to obtain a reliable risk management system is essential. This research addresses this gap by adopting a system dynamic modelling approach to create a comprehensive systemic risk management model. The primary goal of this study is to synthesise, model, analyse, and understand the dynamics of complex food supply chain systems, specifically, the cheese supply chain, affected by the different risks to protect them from disruptions and negative consequences while providing valuable insights for supply chain practitioners to mitigate these risks. Aligned with the research aim of this study, a robust model utilising a system dynamics approach is developed as a basis for simulating behavioural changes in cheese supply chain variables when risk factors integrate into the system. The developed model for this research assesses the dynamics of three pivotal processes within the cheese supply chain: production, logistics service provider activities, and retailing. Given this comprehensive model, including these critical processes, this study can provide …
abstract: The food supply chain system is a network of activities and processes involved in producing, distributing, and delivering food products from their sources to consumers. The internal operations and the external environment in which the system functions create a dynamic that can lead to disturbances in the flow of materials, information, and financial resources. Employing a proactive and effective risk management system is crucial for achieving smooth performance, particularly for supply chains with perishable products. Improving safety and reliability within the food supply chain were two significant dimensions frequently covered through prior research studies. However, the complex interrelationship between elements of food supply chain systems influenced by risk events and their dynamic feedback has received little attention in previous literature. Adopting a new technique that goes beyond the traditional risk assessment method to obtain a reliable risk management system is essential. This research addresses this gap by adopting a system dynamic modelling approach to create a comprehensive systemic risk management model. The primary goal of this study is to synthesise, model, analyse, and understand the dynamics of complex food supply chain systems, specifically, the cheese supply chain, affected by the different risks to protect them from disruptions and negative consequences while providing valuable insights for supply chain practitioners to mitigate these risks. Aligned with the research aim of this study, a robust model utilising a system dynamics approach is developed as a basis for simulating behavioural changes in cheese supply chain variables when risk factors integrate into the system. The developed model for this research assesses the dynamics of three pivotal processes within the cheese supply chain: production, logistics service provider activities, and retailing. Given this comprehensive model, including these critical processes, this study can provide …
author: Azizsafaei, Maryam
language: eng
keywords: system dynamics, stock-flow diagrams, resilience, causal loop diagrams, food supply chain, dairy supply chain, cheese supply chain, risk management, simulation, risk, food supply chain risk management, systems thinking
date published: 2024-8-21
date modified: 2026-07-24T03:26:59Z
provider: University of Northampton
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Northampton