Managing Semantic Consistency in Model-Based Systems Engineering Using a Matrix Structure

2012 ◽  
Author(s):  
Yun Ye ◽  
Marija Jankovic ◽  
Jean-Claude Bocquet
Keyword(s):  
Systems Engineering ◽  
Modeling Languages ◽  
Matrix Structure ◽  
Engineering Systems ◽  
Semantic Consistency ◽  
Consistency Management ◽  
Model Based ◽  
Information Transformation ◽  
The Matrix ◽  
Model Based Systems Engineering

Model-Based Systems Engineering (MBSE) currently lacks a formalized way of managing modeling consistency. This paper presents a new methodology for semantic consistency management in MBSE. At its core, a matrix structure which extends the Multiple Domain Matrix (MDM) and Engineering Systems Matrix (ESM) is used to organize semantic relations between modeling elements created by using various modeling languages and tools, and to represent how they change over time. In addition, this paper describes how the new matrix can be automatically maintained by a plug-in module which manages the bidirectional information transformation between the model and the matrix. We show that the utilization of our methodology has potential in avoiding ambiguous namings in models, enhancing the traceability of modeling elements as well as reducing manual work. A real world engineering use case with air-conditioning is used to show the utilization of our methodology.

scholarly journals A Conceptual Framework for Consistency Management in Model-Based Systems Engineering

2011 ◽  
Author(s):  
Sebastian J. I. Herzig ◽  
Ahsan Qamar ◽  
Axel Reichwein ◽  
Christiaan J. J. Paredis
Keyword(s):  
Systems Engineering ◽  
Tool Support ◽  
Engineering Systems ◽  
Consistency Management ◽  
Model Based ◽  
Complex Engineering ◽  
External Consistency ◽  
Challenging Question ◽  
Model Based Systems Engineering ◽  
Complex Engineering Systems

Developing complex engineering systems requires the consolidation of models from a variety of domains such as economics, mechanics and software engineering. These models are typically created using differing formalisms and by stakeholders that have varying views on the same problem statement. The challenging question is: what is needed to make sure that all of these different models remain consistent during the design process? A review of the related literature reveals that this is still an open challenge and has not yet been investigated at a fundamental level within the context of Model-Based Systems Engineering (MBSE). Therefore, this paper specifically focuses on examining the fundamentals of consistency management. We show that some inconsistencies cannot be detected and come to the conclusion that it is impossible to say whether or not a system is fully consistent. In this paper, we first introduce a mathematical foundation to define consistency in a formal manner. A decision-based approach to design is then studied and applied to the development of a real-world example. The research reveals several distinct types of inconsistencies that can occur during the design and development of a system. We show that these inconsistencies can be further classified into two groups: internal and external consistency. From these insights, the ontology of inconsistencies is constructed. Finally, requirements for possible tool support and methods to identify and manage specific types of consistency issues are proposed.

scholarly journals A Tensor-Based Formulation of Hetero-Functional Graph Theory

2021 ◽  
Author(s):  
Amro M. Farid ◽  
Dakota J. Thompson ◽  
Wester Schoonenberg
Keyword(s):  
Graph Theory ◽  
Systems Engineering ◽  
Large Scale ◽  
Engineering Systems ◽  
Model Based ◽  
System Concept ◽  
Functional Graph ◽  
Multiple Graph ◽  
Model Based Systems Engineering ◽  
Form System

Abstract Recently, hetero-functional graph theory (HFGT) has developed as a means to mathematically model the structure of large-scale complex flexible engineering systems. It does so by fusing concepts from network science and model-based systems engineering (MBSE). For the former, it utilizes multiple graph-based data structures to support a matrix-based quantitative analysis. For the latter, HFGT inherits the heterogeneity of conceptual and ontological constructs found in model-based systems engineering including system form, system function, and system concept. These diverse conceptual constructs indicate multi-dimensional rather than two-dimensional relationships. This paper provides the first tensor-based treatment of hetero-functional graph theory. In particular, it addresses the “system concept” and the hetero-functional adjacency matrix from the perspective of tensors and introduces the hetero-functional incidence tensor as a new data structure. The tensor-based formulation described in this work makes a stronger tie between HFGT and its ontological foundations in MBSE. Finally, the tensor-based formulation facilitates several analytical results that provide an understanding of the relationships between HFGT and multi-layer networks.

Overview of Architecture Frameworks and Modeling Languages for Model-Based Systems Engineering

2011 ◽  
Author(s):  
Axel Reichwein ◽  
Christiaan J. J. Paredis
Keyword(s):  
Systems Engineering ◽  
Systems Design ◽  
Modeling Languages ◽  
Future Trends ◽  
Model Based ◽  
Architecture Frameworks ◽  
Model Based Systems Engineering

Model-based systems engineering is a relatively new discipline. As a result, many system designers are not familiar with the main concepts of model-based systems engineering and how it can beneficially impact systems design. The paper presents an overview of architecture frameworks and modeling languages for model-based systems engineering as well as indicates future trends.

Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit/Information Quality in Product Engineering: Model-Based Systems Engineering in Explicit Consideration of Uncertainty

Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler
Keyword(s):  
Systems Engineering ◽  
Information Quality ◽  
Engineering Model ◽  
Model Based ◽  
Product Engineering ◽  
Explicit Consideration ◽  
Model Based Systems Engineering

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.

scholarly journals An Approach to Complement Model-Based Vehicle Development by Implementing Future Scenarios

2021 ◽  
Vol 12 (3) ◽  
pp. 97
Author(s):  
Christian Raulf ◽  
Moritz Proff ◽  
Tobias Huth ◽  
Thomas Vietor
Keyword(s):  
Systems Engineering ◽  
Holistic Approach ◽  
Future Scenarios ◽  
Worst Case ◽  
System Architectures ◽  
Vehicle Development ◽  
Model Based ◽  
Scenario Technique ◽  
Stakeholder Needs ◽  
Model Based Systems Engineering

Today, vehicle development is already in a process of substantial transformation. Mobility trends can be derived from global megatrends and have a significant influence on the requirements of the developed vehicles. The sociological, technological, economic, ecological, and political developments can be determined by using the scenario technique. The results are recorded in the form of differently shaped scenarios; however, they are mainly document-based. In order to ensure a holistic approach in the sense of model-based systems engineering and to be able to trace the interrelationships of the fast-changing trends and requirements, it is necessary to implement future scenarios in the system model. For this purpose, a method is proposed that enables the consideration of future scenarios in model-based vehicle development. The procedure of the method is presented, and the location of the future scenarios within the system architectures is named. The method is applied and the resulting system views are derived based on the application example of an autonomous people mover. With the help of the described method, it is possible to show the effects of a change of scenario (e.g., best-case and worst-case) and the connections with the highest level of requirements: stakeholder needs.

Implementation Strategy for Seamless Model-based Systems Engineering

ATZ worldwide ◽  
2021 ◽  
Vol 123 (7-8) ◽  
pp. 66-71
Author(s):  
Thorsten Weyer ◽  
Marcel Goger ◽  
Walter Koch ◽  
Birgit Kremer
Keyword(s):  
Systems Engineering ◽  
Implementation Strategy ◽  
Model Based ◽  
Model Based Systems Engineering
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