Model Based Systems Engineering with MagicGrid
November 2, 2016
No Magic, Inc.
MBD- and GPS-based Workpiece Coordinate Measuring Information Representation Modeling
Jiangyan Jin, Xiaoyang Liu, Yixiang Fang, and Zhenyu Liu
A MBD Model-driven Automatic Generation Method of Onmachine Measuring Program for CNC Machining
Wenhao Zhong1, Cheng Zhai1, Yansheng Cao2 and Meiqing Wang1*
1 School of Mechanical Engineering and Automation Beihang university, Beijing,
The Transition to Model Based Enterprise
How to measure progress and organize for success
Ram Pentakota
The emergence of model-based engineering, with Model- Based Systems Engineering (MBSE) leading the way, is transforming design and analysis methodologies. [7] The recognized benefits to systems development include moving from document-centric information systems and document-centric project communication to a model-centric environment in which control of design changes in the life cycles is facilitated. In addition, a “single source of truth” about the system, that is up-to-date in all respects of the design, becomes the authoritative source of data and information about the system. This promotes consistency and efficiency in regard to integration of the system elements as the design emerges and thereby may further optimize the design. Therefore Reliability Engineers (REs) supporting NASA missions must be integrated into model-based engineering to ensure the outputs of their analyses are relevant and value-needed to the design, development, and operational processes for failure risks assessment and communication.
Model-Based Systems Engineering (MBSE) is a formalized modeling approach that supports the systems engineering activities to develop and integrate complex interdisciplinary systems. The significant role of MBSE in the development of complex technical systems and innovative capabilities have consistently attracted attention across several industry domains around the world. This transformation behavior allows manufacturers to produce solution-focused users' oriented products, but at the same time, due to lack of experience and process integration, it also creates application challenges for system engineers. The application becomes more complicated and challenging when a variety of MBSE methodologies are available. Therefore, it is difficult for the system engineers to select the appropriate methodology for a particular application. Although a variety of MBSE methodologies are available, some of them will be more efficient for a particular application than others. However, in this thesis, ARCADIA (Architecture, Analysis, and Design Integrated Approach) has been selected as a candidate MBSE methodology, and its potential capabilities and application behavior have been evaluated using Capella, an open-source software tool compliant with ARCADIA’s principals.
This paper is an experience report about introducing Model-based Systems Engineering (MBSE) at Volvo (Construc-tion Equipment) and describes lessons learned. The recent growth in technologies such as electromobility, automation etc. in heavy construction machinery such as loaders, haulers, excavators etc. leads to increased complexity being addressed within embedded systems and software. Hence there is an increasing need for model-based development methodologies to facilitate flexible and distributed development scenarios, enhance communication among cross-functional teams, more importantly, traceability from requirements to system and software architectures. In this paper, we describe how the MBSE methodology was initially conceived, applied in an ongoing project, the challenges faced, and lessons learned. The paper also points to related works and future directions towards a holistic Model-Driven Development (MDD) framework.
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