scholarly journals A Model-Based Design Method for the Correlation between Customer Feedback and Technical Design Parameters in the Context of Systems Engineering

Modelling ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 795-820
Author(s):  
Günseli Aksoy ◽  
Christian Raulf ◽  
Thomas Vietor
Keyword(s):  
Systems Engineering ◽  
Design Method ◽  
Design Parameters ◽  
Automated Driving ◽  
Product Model ◽  
Engineering Product ◽  
Customer Feedback ◽  
Model Based ◽  
Product Generation ◽  
Holistic Concept

Nowadays considering trends such as digitalization, automated driving as well as electric mobility in products in automotive development processes is a major challenge, which has led to an enormous increase in the number of product functions of technical systems. However, the recognized processes in automotive development are strongly component-oriented and such processes partially support the development of product functions. In order to meet future trends and ensure long term customer satisfaction, a transfer from component-oriented to function-oriented development is necessary. Accordingly, a holistic concept can be useful that enables the integration of customer feedback into the early phase of product development in the context of function-orientation. However, the customer feedback evaluation and their mapping with technical subsystems have been considered mainly in the context of component-oriented development. In this contribution, a method is proposed, which is generated in the context of a product model of product generation engineering. Product Generation Engineering enables the structuring of the development process of a product generation and supports function-oriented development. The Product Model provides customer- oriented development of mechatronic products. The proposed method is achieved in the sense of model-based systems engineering and validated by the exemplarily application of a case study of a specific vehicle. Both the past and current product generations of the specific vehicle are taken into account in the development of the subsequent product generation.

scholarly journals SUPPORTING THE MODELLING IN MBSE BY APPLYING PRODUCT GENERATION ENGINEERING USING ELECTRONIC COMPACT ACTUATORS AS AN EXAMPLE

2020 ◽  
Vol 1 ◽  
pp. 2425-2434
Author(s):  
M. Wäschle ◽  
A. Martin ◽  
A. Radimersky ◽  
M. Behrendt ◽  
A. Albers
Keyword(s):  
Systems Engineering ◽  
Second Generation ◽  
Relevant Information ◽  
Paper Model ◽  
Model Based ◽  
Product Generation ◽  
Model Based Systems Engineering ◽  
High Effort

AbstractThe development of a new motor can be a high effort. In this paper, Model-based Systems Engineering (MBSE) is applied to model the second generation of an electronic compact actuator (ECA). This paper focuses on the traceability between model elements from previous product generations. By integrating the approach of the PGE - Product Generation Engineering in MBSE, developers can store more relevant information in the model; they can accomplish automatic calculations of derived factors and build models more efficiently in further product developments.

Automatic Integration of System-Level Design and System Optimization Based on SysML

2012 ◽  
Vol 249-250 ◽  
pp. 1154-1159
Author(s):  
Yu Sheng Liu ◽  
Wen Qiang Yuan
Keyword(s):  
System Design ◽  
Systems Engineering ◽  
Optimization Model ◽  
System Modeling ◽  
System Optimization ◽  
System Level ◽  
Design Parameters ◽  
System Level Design ◽  
Model Based ◽  
Level Design

Model based systems engineering (MBSE) is becoming a promising approach for the system-level design of complex mechatronics. And several MBSE tools are developed to conduct system modeling. However, the system design cannot be optimized in current MBSE tools. In this study, an approach is presented to conduct the task. A set of optimization stereotype is defined at first which is used to formalize the optimization model based on the system design model. Then the design parameters and their relationships applied optimization stereotypes are extracted and transferred to construct the tool-dependent optimization model. Finally, the optimization model is solved and the results are given back and then modify the corresponding system model automatically. In this paper, MagicDraw is used to model the whole system whereas Matlab optimizer is used for optimization. The combustion engine is chosen as the example to illustrate the proposed approach.

scholarly journals Towards Model-based Process Engineering

2019 ◽  
Vol 1 (1) ◽  
pp. 3741-3750 ◽  
Author(s):  
David Inkermann
Keyword(s):  
Product Development ◽  
Systems Engineering ◽  
Process Engineering ◽  
Integrated Modelling ◽  
Product Model ◽  
Model Based ◽  
Product Models ◽  
Analysis And Synthesis ◽  
High Interaction ◽  
Model Based Systems Engineering

AbstractThe high interaction between process and product models in product development and systems engineering (SE) is common sense. However, most research in the field of model based systems engineering (MBSE) focusses of physical systems (hardware and software). The authors claim that this focus is a main reason for the low acceptance and high effort for implementation of SE and MBSE in industrial practice. Thus, this contribution aims at supporting an integrative analysis and synthesis of process and product models by introducing the concept and framework of Model-based Process Engineering. Based on established research this framework introduces three main systems, namely the system of processes, system of product models, and system of tools to describe complex product development. The main contribution of this work is a preliminary concept to structure and link the systems of processes and product models. Besides form the description of the main relations between the systems an integrated modelling concept to represent links between the process and product model system is proposed.

Scenario- and Model-based Systems Engineering for Highly Automated Driving

ATZ worldwide ◽  
2020 ◽  
Vol 122 (12) ◽  
pp. 16-21
Author(s):  
Markus Kremer ◽  
Sébastien Christiaens ◽  
Christian Granrath ◽  
Max-Arno Meyer
Keyword(s):  
Systems Engineering ◽  
Automated Driving ◽  
Model Based ◽  
Model Based Systems Engineering ◽  
Highly Automated Driving

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.

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