A multi-objective approach for resilience-based system design optimisation of complex manufacturing systems

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dc.contributor.authorLatsou, Christina
dc.contributor.authorErkoyuncu, John Ahmet
dc.contributor.authorFarsi, Maryam
dc.date.accessioned2021-07-22T13:46:37Z
dc.date.available2021-07-22T13:46:37Z
dc.date.issued2021-06-02
dc.description.abstractDisruptive events in complex manufacturing systems (CMS), characterised by labour-intensive processes and repetitive activities, render these systems vulnerable. In order to tackle this challenge, an approach for resilience-based system design optimisation is proposed. The approach: (i) introduces a dynamic multi-dimensional resilience metric; and (ii) formulates the resilience as a multi-objective optimisation problem to improve CMSs resilience by finding an optimal human resource allocation model, considering design factors including redundancy, resources capacity and roles. The case study, selected to test the validity of the presented approach, show improvement in resilience and efficiency, in terms of throughput, resources utilisation and restoration time.en_UK
dc.identifier.citationLatsou C, Erkoyuncu JA, Farsi M. (2021) A multi-objective approach for resilience-based system design optimisation of complex manufacturing systems. Procedia CIRP, Volume 100, pp. 536-541. 31st CIRP Design Conference 2021, 19-21 May 2021, Virtual Eventen_UK
dc.identifier.issn2212-8271
dc.identifier.urihttps://doi.org/10.1016/j.procir.2021.05.116
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16922
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectResilience designen_UK
dc.subjectcomplex manufacturing systemsen_UK
dc.subjectdynamic multi-dimensional resilienceen_UK
dc.subjectmulti-objective optimisationen_UK
dc.subjectresource planningen_UK
dc.titleA multi-objective approach for resilience-based system design optimisation of complex manufacturing systemsen_UK
dc.typeConference paperen_UK

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