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

dc.contributor.authorKamran Goher
dc.contributor.authorAhmed Al-Ashaab
dc.contributor.authorShoaib Sarfraz
dc.contributor.authorEssam Shehab
dc.date.accessioned2025-08-22T10:12:05Z
dc.date.available2025-08-22T10:12:05Z
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
dc.identifier.citationGoher Kamran, Al-Ashaab Ahmed, Sarfraz Shoaib, Shehab Essam. (2023). An uncertainty management framework to support model-based definition and enterprise. Computers in Industry. https://doi.org/https://doi.org/10.1016/j.compind.2023.103944en
dc.identifier.doi10.1016/j.compind.2023.103944
dc.identifier.urihttps://doi.org/10.1016/j.compind.2023.103944
dc.identifier.urihttps://nur.nu.edu.kz/handle/123456789/9831
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofComputers in Industryen
dc.rightsAll rights reserveden
dc.sourceComputers in Industry, (2023)en
dc.subjectAerospaceen
dc.subjectProcess (computing)en
dc.subjectProcess managementen
dc.subjectIdentification (biology)en
dc.subjectSystems engineeringen
dc.subjectAnalytic hierarchy processen
dc.subjectComputer scienceen
dc.subjectEngineeringen
dc.subjectRisk analysis (engineering)en
dc.subjectOperations researchen
dc.subjectBusinessen
dc.subjectBotanyen
dc.subjectBiologyen
dc.subjectAerospace engineeringen
dc.subjectOperating systemen
dc.subjecttype of access: open accessen
dc.titleAn uncertainty management framework to support model-based definition and enterpriseen
dc.typearticleen

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