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dc.contributor.authorMartin Solano, Xabier Andoni
dc.contributor.authorHatami, Sara
dc.contributor.authorCalvet Liñán, Laura
dc.contributor.authorPeyman, Mohammad
dc.contributor.authorJuan Pérez, Ángel Alejandro
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Organització d'Empreses
dc.date.accessioned2023-04-19T10:53:32Z
dc.date.available2023-04-19T10:53:32Z
dc.date.issued2023-03-14
dc.identifier.citationMartin, X. [et al.]. Dynamic reactive assignment of tasks in real-time automated guided vehicle environments with potential interruptions. "Applied Sciences (Switzerland)", 14 Març 2023, vol. 13, núm. 6, article 3708.
dc.identifier.issn20763417
dc.identifier.otherhttps://samafind.sama.gov.sa/EdsRecord/edsdoj,edsdoj.6cac222b178747c39495a1df089792ea
dc.identifier.urihttp://hdl.handle.net/2117/386405
dc.description.abstractAn efficient management of production plants has to consider several external and internal factors, such as potential interruptions of the ongoing processes. Automated guided vehicles (AGVs) are becoming a widespread technology that offers many advantages. These AGVs can perform complex tasks in an autonomous way. However, an inefficient schedule of the tasks assigned to an AGV can suffer from unwanted interruptions and idle times, which in turn will affect the total time required by the AGV to complete its assigned tasks. In order to avoid these issues, this paper proposes a heuristic-based approach that: (i) makes use of a delay matrix to estimate circuit delays for different daily times; (ii) employs these estimates to define an initial itinerary of tasks for an AGV; and (iii) dynamically adjusts the initial agenda as new information on actual delays is obtained by the system. The objective is to minimize the total time required for the AGV to complete all the assigned tasks, taking into account situations that generate unexpected disruptions along the circuits that the AGV follows. In order to test and validate the proposed approach, a series of computational experiments utilizing real-life data are carried out. These experiments allow us to measure the improvement gap with respect to the former policy used by the system managers.
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Industry, Commerce and Tourism (AEI-010500-2021b-54), the EU Comission (HORIZON-CL4-2021-TWIN-TRANSITION-01-07, 101057294 AIDEAS), and the Generalitat Valenciana (PROMETEO/2021/065).
dc.language.isoeng
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
dc.subject.lcshAutomated guided vehicle systems
dc.subject.otherAutomated guided vehicles
dc.subject.otherDynamic task assignment
dc.subject.otherInternal logistics
dc.subject.otherHeuristic optimization
dc.subject.otherDisruption management
dc.titleDynamic reactive assignment of tasks in real-time automated guided vehicle environments with potential interruptions
dc.typeArticle
dc.subject.lemacVehicles de guiatge automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. IA-DAIS - Intelligent Algorithms, Data Analytics & Internet Systems
dc.identifier.doi10.3390/app13063708
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/13/6/3708
dc.rights.accessOpen Access
local.identifier.drac35706110
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/HE/101057294/EU/AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience/AIDEAS
local.citation.authorMartin, X.; Hatami, S.; Calvet, L.; Peyman, M.; Juan, Á.
local.citation.publicationNameApplied Sciences (Switzerland)
local.citation.volume13
local.citation.number6, article 3708


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