An Integrated Model-Based Approach for Systems Engineering - Towards the use of model-based approach in the early development stages of the systems engineering process

Sarayut Nonsiri

    Research output: ThesisDoctoral ThesisCollection of Articles

    Abstract

    Systems engineering projects are increasingly complex, and often involve multi-disciplinary teams, different physical locations, and diverse stakeholders. At the early stage of the systems engineering process, systems engineers need to deal with capturing the needs, planning the process, and analyzing early solutions. These activities during early stages have a tremendous impact to all later downstream activities of the development process in term of time-to-market, quality of a system, and final cost. Model-Based Systems Engineering (MBSE), as a model-centric approach, was purposed to support systems engineers to deal with the complexities in developing a system using models. The advantages of implementing MBSE in a project are for example purposed for improving the quality, reducing the risks, increasing the productivity, and improving the communication effectively. However, models are not very useful if they cannot be executed and used for verification and validation purposes. The scope of this thesis focuses on integrating a model-based approach formalized by Systems Modeling Language (SysML) in the three following domains: requirements modeling, tasks and activities scheduling, and behavioral analyzing of a physical system. In the first domain, i.e. requirements modeling, this thesis contributes to the analysis of the impact of changes within requirements with the combination of SysML stereotypes and Design Structure Matrix (DSM) techniques. In the second domain, Design Structure Matrix (DSM) and Differential Evolution algorithm (DDE) techniques allow systems engineers to schedule the development process by minimizing iteration of tasks and increasing concurrency between tasks. In the third domain, techniques from Qualitative Physics, i.e. Dimensional Analysis and Causal ordering, are applied for modeling and simulating the behavior of physical systems.
    Translated title of the contributionAn Integrated Model-Based Approach for Systems Engineering
    Original languageEnglish
    QualificationDoctor's degree
    Awarding Institution
    • Aalto University
    Supervisors/Advisors
    • Pietola, Matti, Supervising Professor
    • Coatanea, Eric, Thesis Advisor
    Publisher
    Print ISBNs978-952-60-6077-4
    Electronic ISBNs978-952-60-6078-1
    Publication statusPublished - 2015
    MoE publication typeG5 Doctoral dissertation (article)

    Keywords

    • model-based approach
    • systems engineering
    • SysML
    • design structure matrix
    • optimization
    • causal ordering algorithm

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