Model-based systems engineering: application and lessons from a technology maturation project

Cole, Bjorn; Mittal, Vikram; Gillespie, Stephen; La, Nguyen; Wise, Richard; MacCalman, Alex

doi:10.1016/j.procs.2019.05.071

Cited by 9 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A special role is played by the application of the principle of minimization [39,70,89,[127][128][129][130][131][132]. According to this principle for solving specific problems, information should be provided in the minimum necessary volume.…”

Section: Resultsmentioning

confidence: 99%

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

This scientific article discusses the process of digital transformation of enterprises, analyzed as complex technical systems. Digital transformation is essential for businesses to remain competitive in the global marketplace. One of the effective tools for such a transformation is model-based systems engineering (MBSE). However, there is a gap in the practical application of knowledge regarding the uniform principles for the formation of a digital representation of complex technical systems, which limits the realization of the cross-industry potential of digital transformation in the economy. The motivation for this study is to identify common cross-industry principles for the formation of digital representations of complex technical systems that can lead companies to a sustainable and successful digital transformation. The purpose of this work is to identify and formulate these principles through an analysis of publications, using an inductive approach and classifying them by the category of application. As a result of the study, 23 principles were obtained, and the degree of their use in various industries associated with complex technical systems was determined. The results of this study will help to solve the problem of cross-industry integration and guide systemic changes in the organization of enterprises during their digital transformation.

show abstract

Section: Resultsmentioning

confidence: 99%

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…A collection of model-based validation (MBV) methods is used to verify software designs [18]. In order to understand a system's behavior and properties, one might utilize models, which are abstract representations of the system [19].…”

Section: Model-based Validationmentioning

confidence: 99%

Methodologies of the Validation of Software Architectures

El Murabet,

Abtoy

2023

J. Comput. Theor. Appl.

View full text Add to dashboard Cite

Software architecture validation is the process of assessing whether a software architecture meets its intended requirements and goals. It is an important step in the software development process, as it can help to identify and address potential problems early on before they become more costly and difficult to fix. There are a variety of different methodologies that can be used to validate software architecture. Some of the most common methodologies include Architectural evaluation methods, Architecture tests and reviews, and Model-based validation. This paper will provide an overview of the different methodologies that can be used to validate software architecture. Apart from that, it also analyzes and summarizes the strengths and weaknesses of each method so that it can guide determining the most appropriate methodology for a particular case.

show abstract

“…o Functional Requirement: A high precision Exhaust Gas Recirculation (EGR) control system is needed to achieve a constant EGR rate. Functional analysis becomes more complex when synchronizing the structure-function model and software-hardware integration model (Cole et al 2019) (Maurer & Winner 2013). The system must control the EGR volume in real time by determining the valve angle according to various conditions, e.g.…”

Section: The Challenges Of Innovative and Complex Designsmentioning

confidence: 99%

“…SysML facilitates communication not only within systems engineering domain, but also across multi disciplines and the development lifecycle. Additionally, the capability to capture logical and physical aspects of the system of interest (Cole et al 2019) gives a heuristic approach to all stakeholders.  System modeling with SysML supports evaluation of alternative systems designs or system's hardware and software components selection by comparing the set of Measures of Effectiveness (MoE) (Friedenthal, Moore & Steiner 2015).…”

Section: The Needs For Mbse In Complex System Designmentioning

confidence: 99%

A Pragmatic MBSE Approach of Nissan Powertrain Team to Minimizing Document‐Based SE

Arifin,

Morita,

Kawamura

et al. 2022

INCOSE International Symp

View full text Add to dashboard Cite

This paper describes a pragmatic Model‐Based Systems Engineering (MBSE) approach to reduce dependence on traditional documents and manage complexity of the electrified powertrain system. The approach enables requirements flow‐down from an upper abstraction layer to the lower one(s) with stepwise analysis and design for a holistic system architecture of the system of interest. This approach is employed in the Nissan Powertrain development, which aims to solve challenges due to the traditional documents systems engineering (SE) approach to complex systems. This paper describes an MBSE approach developed for Nissan‐7 methodology that focuses on knowledge capture, fast feedback on requirements and design, and early verification and validation. The significant benefits of using an MBSE approach over a traditional documents SE approach are: a holistic view of system architecture, knowledge reusability, communicability, and adaptability to new technologies. This paper presents proof of concept example projects that have demonstrated that it is viable to use this approach and apply it to an actual development for future work.

show abstract

Model-based systems engineering: application and lessons from a technology maturation project

Cited by 9 publications

References 5 publications

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Methodologies of the Validation of Software Architectures

A Pragmatic MBSE Approach of Nissan Powertrain Team to Minimizing Document‐Based SE

Contact Info

Product

Resources

About