Munich Agile MBSE Concept (MAGIC)

AbstractModel-based systems engineering (MBSE) is well-known in gaining the control over the complexity of systems and the development processes, while agile is a project management methodology originally from software development that uses short development cycles to focus on continuous improvement in the development of a product or service. In this paper, we adopt the concept of agile into MBSE and then proposed the new approach - Munich Agile MBSE Concept (MAGIC). The highlights of the MAGIC approach can be concluded as 1) the requirements which have been defined in the first stage will be examined and traced at each following stages; 2) communication between every 2 stages always exists in order to have a close connection during each system development phase; 3) the idea of Industry 4.0 has been included and reflected to achieve automation and data exchange with manufacturing technologies; 4) the concept of IOT (Internet of Things) is also considered when it comes to the usage and service of the system to satisfy the customer's needs; 5) the whole spirit of agile is reflected as the iterative and incremental design and development

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A Taxonomy for Model-Based Systems Engineering

10.1115/detc2021-69125 ◽

2021 ◽

Author(s):

João P. Monteiro ◽

Paulo J. S. Gil ◽

Rui M. Rocha

Keyword(s):

Systems Engineering ◽

System Development ◽

Emergent Properties ◽

System Specification ◽

Academic Context ◽

Model Based ◽

Development Processes ◽

Expected Benefits ◽

Model Based Systems Engineering ◽

Execution Models

Abstract In this paper, we define Model Based Systems Engineering (MBSE) as a set of different approaches which vary in scope and in purpose, as opposed to defining it as a monolithic concept. To do so, we inductively extract common themes from papers proposing new MBSE methods based on the type of Systems Engineering (SE) artifacts produced and the expected benefits of MBSE implementation. These themes are then validated against the experiences depicted in a second set of papers evaluating the deployment of MBSE methods in practice. We propose a taxonomy for MBSE which identifies three main categories: system specification repositories, system execution models, and design automation models. The proposed categories map well onto common discussions of the nature of the SE activity, in that the first is employed in the management of system development processes and the second in the understanding of system performance and emergent properties. The third category is almost exclusively discussed in an academic context and is therefore more difficult to relate to SE practice, but its features are clearly distinct from the other two. The proposed taxonomy clarifies what MBSE is and what it can be, therefore helping focus research on the issues that still prevent MBSE practice from living up to expectations.

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AWOSE - A Process Model for Incorporating Ethical Analyses in Agile Systems Engineering

Science and Engineering Ethics ◽

10.1007/s11948-019-00133-z ◽

2019 ◽

Vol 26 (2) ◽

pp. 851-870 ◽

Cited By ~ 2

Author(s):

Benjamin Strenge ◽

Thomas Schack

Keyword(s):

Systems Engineering ◽

Process Model ◽

Ethical Issues ◽

System Development ◽

Extreme Programming ◽

Agile Development ◽

Ethical Implications ◽

Technological Developments ◽

Information And Communication ◽

Development Processes

Abstract Ethical, legal and social implications are widely regarded as important considerations with respect to technological developments. Agile Worth-Oriented Systems Engineering (AWOSE) is an innovative approach to incorporating ethically relevant criteria during agile development processes through a flexibly applicable methodology. First, a predefined model for the ethical evaluation of socio-technical systems is used to assess ethical issues according to different dimensions. The second part of AWOSE ensures that ethical issues are not only identified, but also systematically considered during the design of systems based on information and communication technology. For this purpose, the findings from the first step are integrated with approaches from worth-centered development into a process model that, unlike previous approaches to ethical system development, is thoroughly compatible with agile methodologies like Scrum or Extreme Programming. Artifacts of worth-centered development called Worth Maps have been improved to guide the prioritization of development tasks as well as choices among design alternatives with respect to ethical implications. Furthermore, the improved Worth Maps facilitate the identification of suitable criteria for system evaluations in association to ethical concerns and desired positive outcomes of system usage. The potential of the AWOSE methodology has been demonstrated in the context of a technical system (smart glasses for cognitive assistance) that supports elderly and people with particular handicaps.

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A Model-Based Systems Engineering Approach to Exploration Medical System Development

2019 IEEE Aerospace Conference ◽

10.1109/aero.2019.8741864 ◽

2019 ◽

Cited By ~ 3

Author(s):

Andrea Hanson ◽

Jennifer Mindock ◽

Shira Okon ◽

Melinda Hailey ◽

Kerry McGuire ◽

...

Keyword(s):

Systems Engineering ◽

System Development ◽

Medical System ◽

Engineering Approach ◽

Model Based ◽

Model Based Systems Engineering

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ON THE USE OF MODEL BASED SYSTEMS ENGINEERING AND CAD FOR THE DESIGN OF PHYSICAL PRODUCTS

Proceedings of the Design Society ◽

10.1017/pds.2021.493 ◽

2021 ◽

Vol 1 ◽

pp. 2317-2326

Author(s):

Bernhard Meussen

Keyword(s):

Physical Properties ◽

Systems Engineering ◽

Business Models ◽

Cad Systems ◽

Model Based ◽

Digital Business Models ◽

Development Processes ◽

Link Model ◽

Technical Systems ◽

Model Based Systems Engineering

AbstractModel based systems engineering is often used as an alternative to the document based design of software or other technical systems. Its focus lies on the modelling of procedural aspects of the products, rather than on physical aspects. In mechanical engineering, the geometry and the physical properties of the product like strength, stiffness, kinematic and kinetic behaviour are described by CAD-systems. This paper tries to link model based systems engineering tools with modern CAD tools to facilitate the digitization of the development processes of physical products as part of the digitization of new digital business models.

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Systematic Literature Review of System Models for Technical System Development

Applied Sciences ◽

10.3390/app11073014 ◽

2021 ◽

Vol 11 (7) ◽

pp. 3014

Author(s):

Marvin M. Schmidt ◽

Thomas C. Zimmermann ◽

Rainer Stark

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Systems Engineering ◽

System Development ◽

Technical System ◽

System Model ◽

Meta Data ◽

System Models ◽

Common Definition ◽

Model Based Systems Engineering

In Model-Based Systems Engineering (MBSE) there is yet no converged terminology. The term ‘system model’ is used in different contexts in literature. In this study we elaborated the definitions and usages of the term ‘system model’, to find a common definition. We analyzed 104 publications in depth for their usage and definition as well as their meta-data e.g., the publication year and publication background to find some common patterns. While the term is gaining more interest in recent years, it is used in a broad range of contexts for both analytical and synthetic use cases. Based on this, three categories of system models have been defined and integrated into a more precise definition.

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Economic Analysis of Model-Based Systems Engineering

Systems ◽

10.3390/systems7010012 ◽

2019 ◽

Vol 7 (1) ◽

pp. 12 ◽

Cited By ~ 12

Author(s):

Azad Madni ◽

Shatad Purohit

Keyword(s):

Systems Engineering ◽

Large Scale ◽

Cost Benefit Analysis ◽

System Development ◽

Cost Benefit ◽

Cost Effective ◽

Model Based ◽

Regulatory Constraints ◽

Long Run ◽

Model Based Systems Engineering

In the face of ever-increasing complexity of systems and system development programs, several aerospace, automotive, and defense organizations have already begun or are contemplating the transition to model-based systems engineering (MBSE). The key challenges that organizations face in making this decision are determining whether it is technically feasible and financially beneficial in the long-run to transition to MBSE, and whether such transition is achievable given budgetary constraints. Among other cost drivers of this transition, are a new digital infrastructure, personnel training in MBSE, and cost-effective migration of legacy models and data into the new infrastructure. The ability to quantify gains from MBSE investment is critical to making the decision to commit to MBSE implementation. This paper proposes a methodological framework for analyzing investments and potential gains associated with MBSE implementation on large-scale system programs. To this end, the MBSE implementation problem is characterized in terms of: system complexity, environment complexity and regulatory constraints, and system lifespan. These criteria are applied to systems in twelve major industry sectors to determine MBSE investment and expected gains. Results from this cost-benefit analysis are used to justify investment in MBSE implementation where warranted. This approach is generic and can be applied to different sectors for economic evaluation of costs and benefits and justification of transition to MBSE if warranted.

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