Towards Solving MBSE Adoption Challenges: The D3 MBSE Adoption Toolbox

Chami, Mohammad; Aleksandraviciene, Aiste; Morkevičius, Aurelijus; Bruel, Jean‐Michel

doi:10.1002/j.2334-5837.2018.00561.x

Cited by 44 publications

(86 citation statements)

References 11 publications

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“…Numerous papers have been published about MBSE adoption (Chami, Morkevicius, Aleksandraviciene, & Bruell, 2018) (Schreiber, 2019) (Karban, Zamparelli , Bauvir , & Chiozzi , 2012). Most focus on the problems and challenges of tool selection, the application of the modeling language, and the generation of the engineering artifacts from the modeling tools themselves.…”

Section: Mbse Adoption Leveraging Enterprise Architecture Principlesmentioning

confidence: 99%

Implementing MBSE – An Enterprise Approach to an Enterprise Problem

Papke¹,

Gan

Kratzke³

et al. 2020

INCOSE International Symp

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Model Based Systems Engineering (MBSE) is now widely accepted throughout the industry, from commercial to aerospace and defense. However, while we understand and accept the principles of MBSE, successful adoption and implementation is still a challenge within the industry. The migration from document‐based systems engineering processes to MBSE requires more than purchasing tools and a one‐week course on Systems Modeling Language (SysML). MBSE does not change the practice of Systems Engineering as defined in the INCOSE SE Handbook or ISO/IEEE 15288, but it does affect the way in which systems engineering processes are implemented and supported within and across organizations. Organizations adopting MBSE must address issues such as new skill and competency requirements for systems engineers, model and data management over the lifecycle of the system, and integration with other engineering tools and processes, among others. It is not a tool problem or a modeler problem. It is an enterprise problem and requires an enterprise approach. The approach must be defined and guided by an enterprise architecture, which is broader than just the engineering tools and their interfaces. It includes the enterprise strategic vision, capabilities, operational concepts, organizations, and material solutions required to achieve MBSE adoption, how they relate to one another, and their evolution over time. This paper provides a broad overview of the fundamentals of MBSE adoption and the broader effort of digital engineering transformation, presenting the digital engineering environment as a system‐of‐systems. It presents the use of enterprise architecture as a roadmap for MBSE adoption within the industry.

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Section: Mbse Adoption Leveraging Enterprise Architecture Principlesmentioning

confidence: 99%

Implementing MBSE – An Enterprise Approach to an Enterprise Problem

Papke¹,

Gan

Kratzke³

et al. 2020

INCOSE International Symp

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show abstract

“…A model can include design information, specifications, and testing requirements all stored in a central location [9]. These models will have different viewpoints, offering a flexibility in viewing model information [12]. For instance, the information viewed by the owner is different from the information viewed by engineer.…”

Section: Overview Of System Engineering and Model-based System Enginementioning

confidence: 99%

A Comprehensive Map for Integrating Augmented Reality During the Construction Phase

Nassereddine¹,

Jazzar²,

Piskernik³

2020

Proceedings of the Creative Construction E-Conference 2020

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The increased complexity of construction projects requires the involvement of a wide range of organizations throughout the project lifecycle-from conceptual planning to decommissioning. Construction project teams, therefore, differ from teams in other industries as they comprise individuals who are employed by organizations that conduct different businesses. These many separate organizations working together in a close harmony over the duration of the project is fundamental to the overall business of construction. Project success relies heavily on the management of the flow of information among players and access to the right information is vital to efficiently perform the work. Therefore, an efficient information access and effective information exchange methods internally and externally with other organizations needs to be achieved. The model-centric approach introduces a unique solution to solve the problems with the information jungle, inconsistency, and disintegration associated with the traditional document-centric approach. As such, a coherent use of information management is required to merge, comanage, and semantically connect the information and artifacts generated throughout the project phases. Adopting a model-centric approach creates a single point of truth that centralizes information and facilitates access to it. A transformation plan is needed to outline the shift of the construction from document-centric to model-centric. This paper proposes a strategy to support the model-centric transformation of the Architecture, Engineering, and Construction (AEC) industry. Five strategic objectives are outlined and discussed in this paper highlighting considerations that need to be made to enable this transformation. This study describes the "what" necessary to enable and support a model-centric AEC industry.

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“…Therefore, the need for reusing V&V of the delivered models is crucial to ensure proper systems models reuse. Moreover, it is crucial to implement the suitable adoption approach, similar to the D3 MBSE Adoption Toolbox [6].…”

Section: Motivating Examplementioning

confidence: 99%

SysML Models Verification and Validation in an Industrial Context: Challenges and Experimentation

Baduel

Chami

Bruel

et al. 2018

Lecture Notes in Computer Science

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This paper presents a solution for SysML model verification and validation, with a return of experience from its implementation in an industrial context. We present this solution as a way to overcome issues regarding the use of SysML in an industrial context. We contribute by providing a method and a list of the existing challenges and experimentation results. We advocate the need to have semantics for SysML models without having to define a full domain-specific modeling language. We highlight the work, requirements and benefits that arise from the application of existing technical solutions, and hint at new perspectives and future development in system verification and validation.

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Towards Solving MBSE Adoption Challenges: The D3 MBSE Adoption Toolbox

Cited by 44 publications

References 11 publications

Implementing MBSE – An Enterprise Approach to an Enterprise Problem

Implementing MBSE – An Enterprise Approach to an Enterprise Problem

A Comprehensive Map for Integrating Augmented Reality During the Construction Phase

SysML Models Verification and Validation in an Industrial Context: Challenges and Experimentation

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