MBSE Methodology Survey

Estefan, Jeff A.

doi:10.1002/inst.200912416

Cited by 37 publications

(20 citation statements)

References 2 publications

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“…The latter two are addressed rarely in practice. (Estefan 2008) presents a survey on MBSE methodologies and emphasizes that if a process defines the "what", a modeling method should define the "how". Although the number of MBSE methods is growing over time, none are 100% ready for use, nor are they compliant with any organization's needs.…”

Section: Figure 1 D3 Mbse Adoption Toolbox Componentsmentioning

confidence: 99%

Towards Solving MBSE Adoption Challenges: The D3 MBSE Adoption Toolbox

Chami¹,

Aleksandraviciene²,

Morkevičius

et al. 2018

INCOSE International Symp

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Increasing competition drives organizations to continually seek ways to improve the quality of their products and services, time to market and pricing pressures. Model‐Based Systems Engineering (MBSE) promises many benefits to solve document‐based engineering problems. However, the journey of MBSE adoption relies on several human, financial, organizational and technological factors. Organizations that decide to adopt MBSE must be aware of those factors. This paper outlines the MBSE adoption experience of a series of projects and presents an approach to support and guide organizations in overcoming MBSE adoption challenges.

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Section: Figure 1 D3 Mbse Adoption Toolbox Componentsmentioning

confidence: 99%

Towards Solving MBSE Adoption Challenges: The D3 MBSE Adoption Toolbox

Chami¹,

Aleksandraviciene²,

Morkevičius

et al. 2018

INCOSE International Symp

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“…This focus on the system as an abstract, logical model from a behavioral perspective developed into a sub-branch of Systems Engineering called Model-based Systems Engineering (MBSE) [13]. MBSE has as its premise that a system that meets its defined requirements can be mathematically modeled.…”

Section: Model-based Systems Engineeringmentioning

confidence: 99%

Virtually Indistinguishable

Grieves

2012

Product Lifecycle Management. Towards Knowledge-Rich Enterprises

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Abstract. This paper proposes that Systems Engineering and Product Lifecycle Management are closely related. In fact, the contention is that one of the threads that has led to the formation of Product Lifecycle Management is Systems Engineering. Product Lifecycle Management extends Systems Engineering and uses many of its methodologies and processes. However, this connection between these two areas has not gotten the proper attention from either industry or academia. Cross-pollinating Product Lifecycle Management and Systems Engineering would benefit both disciplines.. The paper is based on the author's observation and work at large organizations with significant Systems Engineering disciplines, such as NASA, the United States' Department of Defense, Boeing Corporation, Lockheed Martin, and others. The discrepancy between Systems Engineering claims of being involved in the entire product lifecycle versus the reality of Systems Engineering ending its involvement with the product at requirement verification informs the perspective of this paper.

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“…The main concept of MBSE approach is to represent a system and the related documents with formal models as opposed to traditional document based approaches where the information is usually represented in natural language on hard copy documents. Several MBSE methodologies have recently been developed in literature (Estefan, 2007); they enhance communications, specifications, design, and reuse of the system design and specifications. Furthermore, model-based approach has been extended to support the designer's ability to evaluate a particular configuration (Shah, et al, 2012) and to model the continuous dynamics of systems (Johnson, et al, 2011).…”

Section: Mbse Methodologymentioning

confidence: 99%

A Combined Design Structure Matrix (DSM) and Discrete Differential Evolution (DDE) Approach for Scheduling and Organizing System Development Tasks Modelled using SysML

Nonsiri

Christophe

Coataneé

et al. 2014

Journal of Integrated Design and Process Science

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During a system engineering process there are an important number of tasks that need to be organized, mapped together and recursively considered. The tasks that are mapped together are exchanging different flows of information and material. In this type of iterative processes, significant savings in term of development time can be made by providing a method that is optimizing the amount of feedbacks and iterations to the minimal level simply required for the successful development of the system. Task scheduling in a system engineering process can become extremely complex. Nevertheless it is a crucial step of the early stages of the systems engineering process for timeto-market, cost-efficiency and quality reasons. In this article, the authors are proposing to combine a computational approach (Discrete Differential Evolution) with Model Based Systems Engineering (MBSE) for minimizing iterations and reducing lead-time development. The present article is contributing to recent research works using Design Structure Matrixes (DSM) and computational methods for visualizing and analyzing systems engineering processes. The paper is proposing a framework integrating a model-based approach and a DSM based analysis of the process architecture to assist system engineers in organizing and scheduling tasks. As a result, this framework allows engineers to automatically populate DSMs generated from MBSE models developed in SysML. A specific stereotype is proposed to represent system development tasks in SysML. The sequencing of the engineering tasks is optimized with the application of a Discrete Differential Evolution algorithm (DDE) taking into account the different constraints. The practical use of the proposed framework is demonstrated on the case study of a mobile robot developed for the Eurobot competition. The article also discusses the possibility to use the current framework to analyze the impact of requirement changes on the scheduling of development tasks.

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MBSE Methodology Survey

Cited by 37 publications

References 2 publications

Towards Solving MBSE Adoption Challenges: The D3 MBSE Adoption Toolbox

Towards Solving MBSE Adoption Challenges: The D3 MBSE Adoption Toolbox

Virtually Indistinguishable

A Combined Design Structure Matrix (DSM) and Discrete Differential Evolution (DDE) Approach for Scheduling and Organizing System Development Tasks Modelled using SysML

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