A stochastic evaluation framework to improve the robustness of manufacturing systems

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dc.contributor.authorPagone, Emanuele
dc.contributor.authorHaddad, Yousef
dc.contributor.authorBarsotti, Ludovico
dc.contributor.authorDini, Gino
dc.contributor.authorSalonitis, Konstantinos
dc.date.accessioned2023-01-09T11:15:30Z
dc.date.available2023-01-09T11:15:30Z
dc.date.issued2023-01-03
dc.description.abstractThis work presents a framework to assess the robustness of manufacturing systems. Robustness, which is an indicator of the system’s ability to maintain its desired performance in face of disturbances, is quantified considering the variance of manufacturing system performance indicators. According to the framework, key objectives are first explicitly defined to guide a thorough exploration of the manufacturing system structural and dynamic characteristics. Several simulation experiments, orchestrated methodically through experimental design, are run and statistically analysed through analysis of variance (ANOVA) tests, including also financial implications. The framework has been tested and validated against a case study where the robustness of the manufacturing system with regard to six aerospace product types is evaluated. The mentioned case study proved that the framework has the potential to improve the robustness of manufacturing systems, identifying the most and least disruptive dispatching policies.en_UK
dc.identifier.citationPagone E, Haddad Y, Barsotti L, et al., (2023) A stochastic evaluation framework to improve the robustness of manufacturing systems, International Journal of Computer Integrated Manufacturing, Volume 36, Issue 7, July 2023, pp. 966-984en_UK
dc.identifier.eissn1362-3052
dc.identifier.issn0951-192X
dc.identifier.urihttps://doi.org/10.1080/0951192X.2022.2162592
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18902
dc.language.isoenen_UK
dc.publisherTaylor & Francisen_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRobustnessen_UK
dc.subjectmanufacturing systemsen_UK
dc.subjectdiscrete event simulationen_UK
dc.subjectapplied statisticsen_UK
dc.subjectsystem simulationen_UK
dc.titleA stochastic evaluation framework to improve the robustness of manufacturing systemsen_UK
dc.typeArticleen_UK

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