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dc.contributor.author
Bearzotti, Lorena
dc.contributor.author
Salomone, Hector Enrique
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dc.contributor.author
Chiotti, Omar Juan Alfredo
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dc.date.available
2022-05-24T12:18:37Z
dc.date.issued
2012-01
dc.identifier.citation
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
dc.identifier.issn
0925-5273
dc.identifier.uri
http://hdl.handle.net/11336/158125
dc.description.abstract
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
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
SUPPLY CHAIN
dc.subject
EVENT MANAGEMENT
dc.subject
MULTI-AGENT SYSTEM
dc.subject
AUTONOMOUS BEHAVIOUR
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones
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dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
An Autonomous Multi-Agent Approach to Supply Chain Event Management
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-05-06T16:20:57Z
dc.identifier.eissn
1873-7579
dc.journal.volume
135
dc.journal.number
1
dc.journal.pagination
468-478
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Bearzotti, Lorena. Universidad Andrés Bello; Chile
dc.description.fil
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
dc.description.fil
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
dc.journal.title
International Journal Of Production Economics
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ijpe.2011.08.023
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S092552731100377X
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