An uncertainty management framework to support model-based definition and enterprise

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dc.contributor.authorGoher, Kamran
dc.contributor.authorAl-Ashaab, Ahmed
dc.contributor.authorSarfraz, Shoaib
dc.contributor.authorShehab, Essam
dc.date.accessioned2023-05-31T10:47:43Z
dc.date.available2023-05-31T10:47:43Z
dc.date.issued2023-05-30
dc.description.abstractIn pursuit of industrial digitalisation, the manufacturing industry is going through a transformation in the methods for product definition from the traditional two-dimensional drawing to three-dimensional digital model known as the model-based definition (MBD). The real benefit of this digitalisation lies in the adoption of model-based definition across all stages of the product lifecycles throughout the enterprise and its supply chain which is termed as model-based enterprise (MBE). However, the current application of this technology is partial, due to the involvement of several associated uncertainties. This paper proposes a novel framework for the management of uncertainties in the adoption of the model-based definition and presents a system in support of the proposed framework. The development commenced with the collaboration of two major aerospace industries. The framework comprises five phases including the preliminary phase, identification, assessment, analysis, and response phase. A systematic process is followed in developing the framework while Numeral, Spread, Assessment, and Pedigree (NUSAP), and Analytical Hierarchy Process (AHP) are used in the assessment of uncertainties. The developed system consists of a user interface, a database of uncertainties, an assessment module, an analysis and prioritisation module, and a knowledge base of mitigation strategies for key uncertainties. The system facilitates the analyst to select the relevant uncertainties from a defined list, systematically assess and analyse each of the uncertainty and obtain recommendations for mitigation of the prioritised uncertainties in the project. The framework and the developed system were validated through expert interviews with two world-class aerospace companies. This system facilitates identifying the various types of uncertainties of MBD, quantifying their impact on the project rationally, and formulating a suitable management strategy for achieving the status of a model-based enterprise.en_UK
dc.description.sponsorshipHigher Education Commission (HEC), Pakistan and Cranfield University.en_UK
dc.identifier.citationGoher K, Al-Ashaab A, Sarfraz S, Shehab E. (2023) An uncertainty management framework to support model-based definition and enterprise, Computers in Industry, Volume 150, September 2023, Article number 103944en_UK
dc.identifier.eissn1872-6194
dc.identifier.issn0166-3615
dc.identifier.urihttps://doi.org/10.1016/j.compind.2023.103944
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19750
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectModel-based definition (MBD)en_UK
dc.subjectModel-based enterprise (MBE)en_UK
dc.subjectDigital manufacturingen_UK
dc.subjectDigital threaden_UK
dc.subjectUncertaintiesen_UK
dc.subjectUncertainty managementen_UK
dc.titleAn uncertainty management framework to support model-based definition and enterpriseen_UK
dc.typeArticleen_UK

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