Assessing Risks in Dairy Supply Chain Systems: A System Dynamics Approach

Maryam Azizsafaei · Amin Hosseinian Far · Rasoul Khandan · Dilshad Sarwar · Alireza Daneshkhah

38 citations0/0 files storedSystems

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Supply Chain Resilience and Risk Management Supply Chain and Inventory Management Complex Systems and Decision Making

Abstract

Due to the dynamic nature of the food supply chain system, food supply management could suffer because of, and be interrupted by, unforeseen events. Considering the perishable nature of fresh food products and their short life cycle, fresh food companies feel immense pressure to adopt an efficient and proactive risk management system. The risk management aspects within the food supply chains have been addressed in several studies. However, only a few studies focus on the complex interactions between the various types of risks impacting food supply chain functionality and dynamic feedback effects, which can generate a reliable risk management system. This paper strives to contribute to this evident research gap by adopting a system dynamics modelling approach to generate a systemic risk management model. The system dynamics model serves as the basis for the simulation of risk index values and can be explored in future work to further analyse the dynamic risk’s effect on the food supply chain system’s behaviour. According to a literature review of published research from 2017 to 2021, nine different risks across the food supply chain were identified as a subsection of the major risk categories: macro-level and operational risks. Following this stage, two of the risk groups identified first were integrated with a developed system dynamics model to conduct this research and to evaluate the interaction between the risks and the functionality of the three main dairy supply chain processes: production, logistics, and retailing. The key findings drawn from this paper can be beneficial for enhancing managerial discernment regarding the critical role of system dynamics models for analysing various types of risks across the food supply chain process and improving its efficiency.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 38 citations exist upstream.

References

1996Formal aspects of model validity and validation in system dynamics 2020Food supply chains during the COVID‐19 pandemic 2004Mitigating supply chain risk through improved confidence 2018Supply chain risk management and artificial intelligence: state of the art and future research directions 2013Selecting among five common modelling approaches for integrated environmental assessment and management 2008The power of flexibility for mitigating supply chain risks 2017Sustainable consumption and production in the food supply chain: A conceptual framework 2002Business Dynamics—Systems Thinking and Modeling for a Complex World

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.