Applications of agent-based modelling and simulation in the agri-food supply chains
Applications of agent-based modelling and simulation in the agri-food supply chains
Agri-food supply chains (ASC) are an important application domain for Operational Research/Management Science. In particular, the use of agent-based simulation (ABS) has increased in ASC research in recent years. This paper reviews existing ASC research that use ABS. The review begins by analysing the characteristics of the models and modelling reported in the literature. It illustrates that existing modelling research features extensive use of: single echelon supply chains; cases from high and middle income countries; unprocessed food products, empirical (as opposed to hypothetical) data; decision-making related to production planning and investment; and the use of black box validation. The second part of the review uses bibliographic mapping to analyse areas in ASC research which are yet to be addressed using ABS. We find that areas such as collaboration and competition, buyer–seller relationships, and service are under-researched. In addition, key actors in ASC such as food processors, supermarkets and retailers have not been included in the ABS models reported. Furthermore, these models have yet to incorporate important supply chain management theories such as Transaction Cost Economics and Resource-Based View as part of their design.
Literature review, Agent-based modelling, Agri-food supply chain, Bibliographic mapping
794-805
Utomo, Dhanan
5c270eaa-9119-4d1b-82d0-5bcfe7d69151
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Eldridge, Stephen
609b0f9d-6a9b-4ed4-9e83-75427dc15960
16 September 2018
Utomo, Dhanan
5c270eaa-9119-4d1b-82d0-5bcfe7d69151
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Eldridge, Stephen
609b0f9d-6a9b-4ed4-9e83-75427dc15960
Utomo, Dhanan, Onggo, Bhakti Stephan and Eldridge, Stephen
(2018)
Applications of agent-based modelling and simulation in the agri-food supply chains.
European Journal of Operational Research, 269 (3), .
(doi:10.1016/j.ejor.2017.10.041).
Abstract
Agri-food supply chains (ASC) are an important application domain for Operational Research/Management Science. In particular, the use of agent-based simulation (ABS) has increased in ASC research in recent years. This paper reviews existing ASC research that use ABS. The review begins by analysing the characteristics of the models and modelling reported in the literature. It illustrates that existing modelling research features extensive use of: single echelon supply chains; cases from high and middle income countries; unprocessed food products, empirical (as opposed to hypothetical) data; decision-making related to production planning and investment; and the use of black box validation. The second part of the review uses bibliographic mapping to analyse areas in ASC research which are yet to be addressed using ABS. We find that areas such as collaboration and competition, buyer–seller relationships, and service are under-researched. In addition, key actors in ASC such as food processors, supermarkets and retailers have not been included in the ABS models reported. Furthermore, these models have yet to incorporate important supply chain management theories such as Transaction Cost Economics and Resource-Based View as part of their design.
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Accepted/In Press date: 17 October 2017
e-pub ahead of print date: 9 November 2017
Published date: 16 September 2018
Additional Information:
This is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, 269, 3, 2018 DOI: 10.1016/j.ejor.2017.10.041
Keywords:
Literature review, Agent-based modelling, Agri-food supply chain, Bibliographic mapping
Identifiers
Local EPrints ID: 425087
URI: http://eprints.soton.ac.uk/id/eprint/425087
ISSN: 0377-2217
PURE UUID: f0b4c7da-9905-4686-91ff-439d576d4b04
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Date deposited: 10 Oct 2018 16:30
Last modified: 16 Mar 2024 04:38
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Author:
Dhanan Utomo
Author:
Stephen Eldridge
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