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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/119021
Ver los metadatos del registro completo
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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:UNLP2025-09-29T11:28:04Zoai: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:13292025-09-29 11:28:04.818SEDICI (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 |
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http://sedici.unlp.edu.ar/handle/10915/119021 |
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http://sedici.unlp.edu.ar/handle/10915/119021 |
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eng |
language |
eng |
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