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A Multi-agent Control Architecture for Supply Chains Using a Predictive Pull-Flow Perspective

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dc.contributor.authorNabais, J. Lemos
dc.contributor.authorNegenborn, Rudy R.
dc.contributor.authorBenítez, R. B. Carmona
dc.contributor.authorMendonça, Luís F.
dc.contributor.authorLourenço, João
dc.contributor.authorBotto, M. Ayala
dc.date.accessioned2024-09-10T14:51:38Z
dc.date.available2024-09-10T14:51:38Z
dc.date.issued2013
dc.description.abstractSupply chains are large-scale distribution networks in which multiple types of commodities are present. In this paper, the operations management in supply chains is posed as a tracking control problem. All inventory levels in the network should be kept as close as possible to the desired values over time. The supply chain state is disturbed due to client demand at the end nodes. A multi-agent control architecture to restore all inventory levels over the supply chain is proposed. First the model for the supply chain is broken down into smaller subsystems using a flow decomposition. The operations management for each subsystem will be decided upon by a dedicated control agent. The control agents solve their problems using a pull-flow perspective, starting at the end nodes and then propagating upstream. Adding new components to the supply chain will have as a consequence the inclusion of more control agents. The proposed architecture is easily scalable to large supply chains due to its modular feature. The multi-agent control architecture performance is illustrated using a supply chain composed of four levels (suppliers, consolidation, distribution, end nodes) using different levels of predictions about client demands. With the increase of prediction demand accuracy the proposed control architecture is able to keep the desired inventory level at the end nodes over time, which makes it suitable for use for just in time production strategies.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNabais, J.L., Negenborn, R.R., Benítez, R.B.C., Mendonça, L.F., Lourenço, J., Botto, M.A. (2013). A Multi-agent Control Architecture for Supply Chains Using a Predictive Pull-Flow Perspective. In: Corchado, J.M., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. PAAMS 2013. Communications in Computer and Information Science, vol 365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38061-7_10pt_PT
dc.identifier.doihttps://doi.org/10.1007/978-3-642-38061-7_10pt_PT
dc.identifier.isbn978-3-642-38060-0
dc.identifier.urihttp://hdl.handle.net/10400.26/52041
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-642-38061-7_10pt_PT
dc.subjectsupply chainspt_PT
dc.subjectmulti-agent systempt_PT
dc.subjectmodel predictive control,pt_PT
dc.subjectinventory levelpt_PT
dc.titleA Multi-agent Control Architecture for Supply Chains Using a Predictive Pull-Flow Perspectivept_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage105pt_PT
oaire.citation.startPage94pt_PT
oaire.citation.titleHighlights on Practical Applications of Agents and Multi-Agent Systems. PAAMS 2013. Communications in Computer and Information Sciencept_PT
rcaap.typebookPartpt_PT

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