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dc.contributor.authorScrimieri, Daniele
dc.contributor.authorAntzoulatos, N.
dc.contributor.authorCastro, E.
dc.contributor.authorRatchev, S.M.
dc.date.accessioned2020-03-04T16:43:53Z
dc.date.accessioned2020-03-12T12:04:05Z
dc.date.available2020-03-04T16:43:53Z
dc.date.available2020-03-12T12:04:05Z
dc.date.issued2017-07
dc.identifier.citationScrimieri D, Antzoulatos N, Castro E et al (2017) Automated experience-based learning for plug and procedure assembly systems. International Journal of Production Research. 55(13): 3674-3685.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17716
dc.descriptionYesen_US
dc.description.abstractThis paper presents a self-learning technique for adapting modular automated assembly systems. The technique consists of automatically analysing sensor data and acquiring experience on the changes made on an assembly system to cope with new production requirements or to recover from disruptions. Experience is generalised into operational knowledge that is used to aid engineers in future adaptations by guiding them throughout the process. At each step, applicable changes are presented and ranked based on: (1) similarity between the current context and those in the experience base; (2) estimate of the impact on system performance. The experience model and the self-learning technique reflect the modular structure of the assembly machine and are particularly suitable for plug and produce systems, which are designed to offer high levels of self-organisation and adaptability. Adaptations can be performed and evaluated at different levels: from the smallest pluggable unit to the whole assembly system. Knowledge on individual modules can be reused when modules are plugged into other systems. An experimental evaluation has been conducted on an industrial case study and the results show that, with experience-based learning, adaptations of plug and produce systems can be performed in a shorter time.en_US
dc.description.sponsorshipEuropean Union [grant number 314762].en_US
dc.language.isoenen_US
dc.subjectPlug-and-procedureen_US
dc.subjectAdaptationen_US
dc.subjectAutomated assemblyen_US
dc.subjectLearningen_US
dc.subjectKnowledge engineeringen_US
dc.titleAutomated experience-based learning for plug and produce assembly systemsen_US
dc.status.refereedYesen_US
dc.date.Accepted2016-06-19
dc.date.application2016-07-14
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1080/00207543.2016.1207817
dc.date.updated2020-03-04T16:43:59Z
refterms.dateFOA2020-03-12T15:46:56Z


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