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Towards Effective Management of Inconsistencies in Model-Based Engineering of Automated Production Systems

机译:在自动化生产系统的基于模型的工程中实现对不一致性的有效管理

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The development of automated production systems requires the collaborative effort of a variety of stakeholders from different disciplines. In model-based systems engineering, stakeholders address their specific concerns by forming a number of views using models. Because of the multidisciplinary nature of automated production systems, a variety of modelling languages, formalisms and tools is typically employed. Nevertheless, the aggregation of models is nowadays limited by the communication between stakeholders and interdisciplinary understanding. Therefore, in order to achieve a positive outcome of the design process it is crucial that the models are free of inconsistencies. As a first step, this paper describes challenges related to managing inconsistencies in models of systems from the domain of automated production systems. A conceptual approach that uses semantic web technologies and a technology demonstrator illustrating the technical viability of the approach are shown. Finally, requirements for a discipline-spanning inconsistency management framework are derived based on the presented challenges and initial findings from applying the approach to a demonstration case.
机译:自动化生产系统的开发需要来自不同学科的各种利益相关者的共同努力。在基于模型的系统工程中,利益相关者通过使用模型形成许多视图来解决他们的特定问题。由于自动化生产系统的多学科性质,通常会使用各种建模语言,形式主义和工具。然而,如今,模型的聚合受到利益相关者之间的交流和跨学科理解的限制。因此,为了获得设计过程的积极成果,至关重要的是模型中必须没有不一致的地方。第一步,本文描述了与自动化生产系统领域中管理系统模型中的不一致有关的挑战。显示了使用语义Web技术的概念方法和说明该方法技术可行性的技术演示程序。最后,基于提出的挑战和将方法应用于演示案例的初步发现,得出了跨学科的不一致管理框架的要求。

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