Increasing competition drives organizations to continually seek ways to improve the quality of their products and services, time to market and pricing pressures. Model‐Based Systems Engineering (MBSE) promises many benefits to solve document‐based engineering problems. However, the journey of MBSE adoption relies on several human, financial, organizational and technological factors. Organizations that decide to adopt MBSE must be aware of those factors. This paper outlines the MBSE adoption experience of a series of projects and presents an approach to support and guide organizations in overcoming MBSE adoption challenges.
After an organization makes the decision to adopt model‐based systems engineering (MBSE), it must go a long way before this decision proves right. There are many obstacles in this way, like stories about unsuccessful MBSE applications, insufficient information on how to proceed, and employee resistance to the cultural change to name a few. Neither of them is a true issue, if suitable enablers for MBSE adoption are chosen. Nowadays, MBSE is enabled by Systems Modeling Language (SysML). However, SysML is neither a framework nor a method: it provides no information about the modeling process and thus must be combined with some methodology to become truly applicable. This paper summarizes the experience of various MBSE adoption projects in the form of a new approach for MBSE. The approach is based on the framework organized in a matrix view and is designated to guide system engineers through the modeling process and help them answer the questions, like how to start, how to structure the model, what views to build, which artefacts to deliver, and in what sequence.
Systems Modeling Language (SysML) is used to capture systems design as descriptive and analytical system models, which relate text-based requirements to the system design model and provide an infrastructure to support analysis and verification. However, SysML is not a methodology, nor a method. This opens-up discussions of how to utilize SysML provided infrastructure to successfully achieve analysis and verification objectives in the context of a particular engineering problem. In this paper a new approach of how model of the system, expressed with sufficient precision in SysML, can be used to support early requirements validation and design verification, particularly when coupled with standard-based execution and simulation environment, is introduced.
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