Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent Structures

Autores
Fernández, Alejandro; Hernandez Hormazabal, Jorge E.; Liu, Shaofeng; Panetto, Hervé; Pankow, Matías Nahuel; Sánchez, Esteban Martín
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Simulations help to understand and predict the behaviour of complex phenomena's, likewise distributed socio-technical systems or how stakeholders interacts in complex domains. Such domains are normally based on networked based interaction, where information, product and decision flows comes in to play, especially under the well-known supply chains structures. Although tools exist to simulate supply chains, they do not adequately support multiple stakeholders to collaboratively create and explore a variety of decision-making scenarios. Hence, in order to provide a preliminary understanding on how these interaction affects stakeholders decision-making, this research presents an study, analysis and proposal development of robust platform to collaboratively build and simulate communication among supply chain. Since realistic supply chain behaviours are complex, a multi-agent approach was selected in order to represent such complexities in a standardised manner. The platform provides agent behaviours for common agent patterns. It provides extension hotspots to implement more specific agent behaviour for expert users (that requires programming). Therefore, as key contribution, technical aspects of the platform are presented, and also the role of multi-level supply chain scenario simulation is discussed and analysed, especially under de context of digital supply chain transformation in the agri-food context. Finally, we discuss lessons learned from early tests with the reference implementation of the platform.
Laboratorio de Investigación y Formación en Informática Avanzada
Materia
Ciencias Informáticas
Digital transformation
Supply chain
Simulations
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/119021
Acceder
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network_name_str SEDICI (UNLP)
spelling Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent StructuresFernández, AlejandroHernandez Hormazabal, Jorge E.Liu, ShaofengPanetto, HervéPankow, Matías NahuelSánchez, Esteban MartínCiencias InformáticasDigital transformationSupply chainSimulationsSimulations help to understand and predict the behaviour of complex phenomena's, likewise distributed socio-technical systems or how stakeholders interacts in complex domains. Such domains are normally based on networked based interaction, where information, product and decision flows comes in to play, especially under the well-known supply chains structures. Although tools exist to simulate supply chains, they do not adequately support multiple stakeholders to collaboratively create and explore a variety of decision-making scenarios. Hence, in order to provide a preliminary understanding on how these interaction affects stakeholders decision-making, this research presents an study, analysis and proposal development of robust platform to collaboratively build and simulate communication among supply chain. Since realistic supply chain behaviours are complex, a multi-agent approach was selected in order to represent such complexities in a standardised manner. The platform provides agent behaviours for common agent patterns. It provides extension hotspots to implement more specific agent behaviour for expert users (that requires programming). Therefore, as key contribution, technical aspects of the platform are presented, and also the role of multi-level supply chain scenario simulation is discussed and analysed, especially under de context of digital supply chain transformation in the agri-food context. Finally, we discuss lessons learned from early tests with the reference implementation of the platform.Laboratorio de Investigación y Formación en Informática Avanzada2019-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/119021enginfo:eu-repo/semantics/altIdentifier/isbn/978-3-030-28464-0info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-030-28464-0_42info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-28464-0_42info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:19:55Zoai:sedici.unlp.edu.ar:10915/119021Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:19:55.509SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent Structures
title Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent Structures
spellingShingle Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent Structures
Fernández, Alejandro
Ciencias Informáticas
Digital transformation
Supply chain
Simulations
title_short Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent Structures
title_full Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent Structures
title_fullStr Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent Structures
title_full_unstemmed Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent Structures
title_sort Collaborative, Distributed Simulations of Agri-Food Supply Chains : Analysis on How Linking Theory and Practice by Using Multi-agent Structures
dc.creator.none.fl_str_mv Fernández, Alejandro
Hernandez Hormazabal, Jorge E.
Liu, Shaofeng
Panetto, Hervé
Pankow, Matías Nahuel
Sánchez, Esteban Martín
author Fernández, Alejandro
author_facet Fernández, Alejandro
Hernandez Hormazabal, Jorge E.
Liu, Shaofeng
Panetto, Hervé
Pankow, Matías Nahuel
Sánchez, Esteban Martín
author_role author
author2 Hernandez Hormazabal, Jorge E.
Liu, Shaofeng
Panetto, Hervé
Pankow, Matías Nahuel
Sánchez, Esteban Martín
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Digital transformation
Supply chain
Simulations
topic Ciencias Informáticas
Digital transformation
Supply chain
Simulations
dc.description.none.fl_txt_mv Simulations help to understand and predict the behaviour of complex phenomena's, likewise distributed socio-technical systems or how stakeholders interacts in complex domains. Such domains are normally based on networked based interaction, where information, product and decision flows comes in to play, especially under the well-known supply chains structures. Although tools exist to simulate supply chains, they do not adequately support multiple stakeholders to collaboratively create and explore a variety of decision-making scenarios. Hence, in order to provide a preliminary understanding on how these interaction affects stakeholders decision-making, this research presents an study, analysis and proposal development of robust platform to collaboratively build and simulate communication among supply chain. Since realistic supply chain behaviours are complex, a multi-agent approach was selected in order to represent such complexities in a standardised manner. The platform provides agent behaviours for common agent patterns. It provides extension hotspots to implement more specific agent behaviour for expert users (that requires programming). Therefore, as key contribution, technical aspects of the platform are presented, and also the role of multi-level supply chain scenario simulation is discussed and analysed, especially under de context of digital supply chain transformation in the agri-food context. Finally, we discuss lessons learned from early tests with the reference implementation of the platform.
Laboratorio de Investigación y Formación en Informática Avanzada
description Simulations help to understand and predict the behaviour of complex phenomena's, likewise distributed socio-technical systems or how stakeholders interacts in complex domains. Such domains are normally based on networked based interaction, where information, product and decision flows comes in to play, especially under the well-known supply chains structures. Although tools exist to simulate supply chains, they do not adequately support multiple stakeholders to collaboratively create and explore a variety of decision-making scenarios. Hence, in order to provide a preliminary understanding on how these interaction affects stakeholders decision-making, this research presents an study, analysis and proposal development of robust platform to collaboratively build and simulate communication among supply chain. Since realistic supply chain behaviours are complex, a multi-agent approach was selected in order to represent such complexities in a standardised manner. The platform provides agent behaviours for common agent patterns. It provides extension hotspots to implement more specific agent behaviour for expert users (that requires programming). Therefore, as key contribution, technical aspects of the platform are presented, and also the role of multi-level supply chain scenario simulation is discussed and analysed, especially under de context of digital supply chain transformation in the agri-food context. Finally, we discuss lessons learned from early tests with the reference implementation of the platform.
publishDate 2019
dc.date.none.fl_str_mv 2019-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
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format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/119021
url http://sedici.unlp.edu.ar/handle/10915/119021
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-3-030-28464-0
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-030-28464-0_42
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-28464-0_42
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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