An Autonomous Multi-Agent Approach to Supply Chain Event Management

Autores
Bearzotti, Lorena; Salomone, Hector Enrique; Chiotti, Omar Juan Alfredo
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Organizations have made significant effort to implement software for planning and scheduling, but disruptive events management is still a problem to be solved. Because of a disruptive event can affect the overall performance of the supply chain, SCEM (Supply Chain Event Management) systems presenting different automation levels such as monitoring, alarm, and decision support have been proposed. However, the management of disruptive events, taking into account the distributed nature of the supply chain, the members´ autonomy, and the ability to exert corrective control actions, has been identified as a problem that requires further research. This work presents an agent-based approach for the SCEM problem, which can perform autonomous corrective control actions to minimize the effect of deviations in the plan that is currently being executed. These control actions consist of a distribution of the variation between supply chain members, using the plan?s slack in a collaborative way. An innovative feature of this approach is its focus on resources, which are affected by disruptive events in a direct way. Based on this approach, a SCEM system is designed as a net of control points defined on resources connected through supply process orders. Two novel aspects are the distributed collaborative inter-organizational architecture of the SCEM system and a Double Contract Net Protocol. This protocol allows a set of resource-representing agents to interact through an agent, representing a supply process order as a mediator. An application to a case study of the Multi-Agent SCEM system implemented with JADE is provided
Fil: Bearzotti, Lorena. Universidad Andrés Bello; Chile
Fil: Salomone, Hector Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Chiotti, Omar Juan Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
SUPPLY CHAIN
EVENT MANAGEMENT
MULTI-AGENT SYSTEM
AUTONOMOUS BEHAVIOUR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/158125
Acceder
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network_name_str CONICET Digital (CONICET)
spelling An Autonomous Multi-Agent Approach to Supply Chain Event ManagementBearzotti, LorenaSalomone, Hector EnriqueChiotti, Omar Juan AlfredoSUPPLY CHAINEVENT MANAGEMENTMULTI-AGENT SYSTEMAUTONOMOUS BEHAVIOURhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Organizations have made significant effort to implement software for planning and scheduling, but disruptive events management is still a problem to be solved. Because of a disruptive event can affect the overall performance of the supply chain, SCEM (Supply Chain Event Management) systems presenting different automation levels such as monitoring, alarm, and decision support have been proposed. However, the management of disruptive events, taking into account the distributed nature of the supply chain, the members´ autonomy, and the ability to exert corrective control actions, has been identified as a problem that requires further research. This work presents an agent-based approach for the SCEM problem, which can perform autonomous corrective control actions to minimize the effect of deviations in the plan that is currently being executed. These control actions consist of a distribution of the variation between supply chain members, using the plan?s slack in a collaborative way. An innovative feature of this approach is its focus on resources, which are affected by disruptive events in a direct way. Based on this approach, a SCEM system is designed as a net of control points defined on resources connected through supply process orders. Two novel aspects are the distributed collaborative inter-organizational architecture of the SCEM system and a Double Contract Net Protocol. This protocol allows a set of resource-representing agents to interact through an agent, representing a supply process order as a mediator. An application to a case study of the Multi-Agent SCEM system implemented with JADE is providedFil: Bearzotti, Lorena. Universidad Andrés Bello; ChileFil: Salomone, Hector Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Chiotti, Omar Juan Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaElsevier Science2012-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/158125Bearzotti, Lorena; Salomone, Hector Enrique; Chiotti, Omar Juan Alfredo; An Autonomous Multi-Agent Approach to Supply Chain Event Management; Elsevier Science; International Journal Of Production Economics; 135; 1; 1-2012; 468-4780925-52731873-7579CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijpe.2011.08.023info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S092552731100377Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:09:07Zoai:ri.conicet.gov.ar:11336/158125instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:09:08.035CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An Autonomous Multi-Agent Approach to Supply Chain Event Management
title An Autonomous Multi-Agent Approach to Supply Chain Event Management
spellingShingle An Autonomous Multi-Agent Approach to Supply Chain Event Management
Bearzotti, Lorena
SUPPLY CHAIN
EVENT MANAGEMENT
MULTI-AGENT SYSTEM
AUTONOMOUS BEHAVIOUR
title_short An Autonomous Multi-Agent Approach to Supply Chain Event Management
title_full An Autonomous Multi-Agent Approach to Supply Chain Event Management
title_fullStr An Autonomous Multi-Agent Approach to Supply Chain Event Management
title_full_unstemmed An Autonomous Multi-Agent Approach to Supply Chain Event Management
title_sort An Autonomous Multi-Agent Approach to Supply Chain Event Management
dc.creator.none.fl_str_mv Bearzotti, Lorena
Salomone, Hector Enrique
Chiotti, Omar Juan Alfredo
author Bearzotti, Lorena
author_facet Bearzotti, Lorena
Salomone, Hector Enrique
Chiotti, Omar Juan Alfredo
author_role author
author2 Salomone, Hector Enrique
Chiotti, Omar Juan Alfredo
author2_role author
author
dc.subject.none.fl_str_mv SUPPLY CHAIN
EVENT MANAGEMENT
MULTI-AGENT SYSTEM
AUTONOMOUS BEHAVIOUR
topic SUPPLY CHAIN
EVENT MANAGEMENT
MULTI-AGENT SYSTEM
AUTONOMOUS BEHAVIOUR
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Organizations have made significant effort to implement software for planning and scheduling, but disruptive events management is still a problem to be solved. Because of a disruptive event can affect the overall performance of the supply chain, SCEM (Supply Chain Event Management) systems presenting different automation levels such as monitoring, alarm, and decision support have been proposed. However, the management of disruptive events, taking into account the distributed nature of the supply chain, the members´ autonomy, and the ability to exert corrective control actions, has been identified as a problem that requires further research. This work presents an agent-based approach for the SCEM problem, which can perform autonomous corrective control actions to minimize the effect of deviations in the plan that is currently being executed. These control actions consist of a distribution of the variation between supply chain members, using the plan?s slack in a collaborative way. An innovative feature of this approach is its focus on resources, which are affected by disruptive events in a direct way. Based on this approach, a SCEM system is designed as a net of control points defined on resources connected through supply process orders. Two novel aspects are the distributed collaborative inter-organizational architecture of the SCEM system and a Double Contract Net Protocol. This protocol allows a set of resource-representing agents to interact through an agent, representing a supply process order as a mediator. An application to a case study of the Multi-Agent SCEM system implemented with JADE is provided
Fil: Bearzotti, Lorena. Universidad Andrés Bello; Chile
Fil: Salomone, Hector Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Chiotti, Omar Juan Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description Organizations have made significant effort to implement software for planning and scheduling, but disruptive events management is still a problem to be solved. Because of a disruptive event can affect the overall performance of the supply chain, SCEM (Supply Chain Event Management) systems presenting different automation levels such as monitoring, alarm, and decision support have been proposed. However, the management of disruptive events, taking into account the distributed nature of the supply chain, the members´ autonomy, and the ability to exert corrective control actions, has been identified as a problem that requires further research. This work presents an agent-based approach for the SCEM problem, which can perform autonomous corrective control actions to minimize the effect of deviations in the plan that is currently being executed. These control actions consist of a distribution of the variation between supply chain members, using the plan?s slack in a collaborative way. An innovative feature of this approach is its focus on resources, which are affected by disruptive events in a direct way. Based on this approach, a SCEM system is designed as a net of control points defined on resources connected through supply process orders. Two novel aspects are the distributed collaborative inter-organizational architecture of the SCEM system and a Double Contract Net Protocol. This protocol allows a set of resource-representing agents to interact through an agent, representing a supply process order as a mediator. An application to a case study of the Multi-Agent SCEM system implemented with JADE is provided
publishDate 2012
dc.date.none.fl_str_mv 2012-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/158125
Bearzotti, Lorena; Salomone, Hector Enrique; Chiotti, Omar Juan Alfredo; An Autonomous Multi-Agent Approach to Supply Chain Event Management; Elsevier Science; International Journal Of Production Economics; 135; 1; 1-2012; 468-478
0925-5273
1873-7579
CONICET Digital
CONICET
url http://hdl.handle.net/11336/158125
identifier_str_mv Bearzotti, Lorena; Salomone, Hector Enrique; Chiotti, Omar Juan Alfredo; An Autonomous Multi-Agent Approach to Supply Chain Event Management; Elsevier Science; International Journal Of Production Economics; 135; 1; 1-2012; 468-478
0925-5273
1873-7579
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijpe.2011.08.023
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S092552731100377X
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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