POTENTIAL OF USING MODEL-BASED SYSTEMS ENGINEERING TO IMPROVE THE DEVELOPMENT PROCESS OF ENGINEERING-TO-ORDER PRODUCTS IN THE FIELD OF MACHINERY AND PLANT ENGINEERING

2015 ◽  
Vol 76 (4) ◽  
Author(s):  
Martin Rabe ◽  
Harald Anacker ◽  
Thorsten Westermann ◽  
Roman Dumitrescu
Keyword(s):  
Systems Engineering ◽  
Development Process ◽  
Present Contribution ◽  
Serial Production ◽  
Model Based ◽  
Start Up ◽  
Technical Systems ◽  
New Challenges ◽  
Model Based Systems Engineering

The machinery and plant engineering sector is faced with new challenges due to the shift to intelligent technical systems and the need to integrate intelligence into machines. In addition, machinery and plant engineering means customized orders which result in engineering-to-order products and a different development process comparing to serial production. The present contribution shows the potential of model-based systems engineering during the whole developments process from the acquisition to distribution and start-up.

scholarly journals USING MODEL-BASED SYSTEMS ENGINEERING FOR NEED-BASED AND CONSISTENT SUPPORT OF THE DESIGN PROCESS

2021 ◽  
Vol 1 ◽  
pp. 3369-3378
Author(s):  
Stephan Husung ◽  
Christian Weber ◽  
Atif Mahboob ◽  
Sven Kleiner
Keyword(s):  
Systems Engineering ◽  
Development Process ◽  
Added Value ◽  
System Level ◽  
System Failure ◽  
Model Based ◽  
Continuous Use ◽  
Model Based Systems Engineering ◽  
Consistent Support ◽  
Modelling Approaches

AbstractModel-Based Systems Engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the technical system with the aim of continuous use in development. The objective of this paper is to use the potential of the MBSE models and to show the added value of such models on the system level when used as a single source. With this objective, this paper presents a three-step approach to systematically identify and apply meaningful modelling approaches within MBSE, based on the needs during the development process. Furthermore, an FMEA example is included in this paper to elaborate the use of MBSE in the system failure analysis.

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

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.

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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