用计算能力增强概念模型:可执行综合建模的方法论

IF 1.6 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL
Natali Levi‐Soskin, Stephan Marwedel, Ahmad Jbara, D. Dori
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引用次数: 0

摘要

缺乏一个能整合系统工程、软件设计和其他工程领域的通用可执行建模框架,是无缝产品开发流程的一大障碍。我们的研究旨在通过将计算能力、软件相关能力和模型执行能力整合到基于 OPM 的概念建模中,形成一个整体统一的可执行定量定性建模框架,从而克服这一系统-软件建模差距。这一差距是通过可执行集成建模方法--MAXIM来克服的,MAXIM是OPM ISO 19450:2015的扩展,于2015年获得标准化批准。我们介绍了 MAXIM 的原理,并在基于网络的协作式概念 OPM 建模框架 OPCloud 中演示了其操作。作为概念验证,我们构建并执行了空客民用飞机起落架制动系统的模型。利用 MAXIM,来自五个领域的工程师可以在系统开发的早期阶段开展协作,共同构建一个融合了不同学科定性和定量方面的统一模型。本案例研究为满足日益增长的关键需求迈出了重要的第一步,即把系统工程与软件计算整合到一个统一的框架中,实现从高层架构到面向学科的详细设计的平稳过渡。这种框架是未来敏捷而稳健地开发软件密集型系统的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing conceptual models with computational capabilities: A methodical approach to executable integrative modeling
The lack of a common executable modeling framework that integrates systems engineering, software design, and other engineering domains is a major impediment to seamless product development processes. Our research aims to overcome this system‐software modeling gap by integrating computational, software‐related, and model execution capabilities into OPM‐based conceptual modeling, resulting in a holistic unified executable quantitative‐qualitative modeling framework. The gap is overcome via a Methodical Approach to Executable Integrative Modeling—MAXIM, an extension of OPM ISO 19450:2015, a standardization approvement given on 2015. We present the principles of MAXIM and demonstrate its operation within OPCloud—a web‐based collaborative conceptual OPM modeling framework. As a proof‐of‐concept, a model of an Airbus civil aircraft landing gear braking system is constructed and executed. Using MAXIM, engineers from five domains can collaborate at the very early phase of the system development and jointly construct a unified model that fuses qualitative and quantitative aspects of the various disciplines. This case study illustrates an important first step towards satisfying the critical and growing need to integrate systems engineering with software computations into a unified framework that enables a smooth transition from high‐level architecting to detailed, discipline‐oriented design. Such a framework is a key to agile yet robust future development of software‐intensive systems.
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来源期刊
Systems Engineering
Systems Engineering 工程技术-工程:工业
CiteScore
5.10
自引率
20.00%
发文量
0
审稿时长
6 months
期刊介绍: Systems Engineering is a discipline whose responsibility it is to create and operate technologically enabled systems that satisfy stakeholder needs throughout their life cycle. Systems engineers reduce ambiguity by clearly defining stakeholder needs and customer requirements, they focus creativity by developing a system’s architecture and design and they manage the system’s complexity over time. Considerations taken into account by systems engineers include, among others, quality, cost and schedule, risk and opportunity under uncertainty, manufacturing and realization, performance and safety during operations, training and support, as well as disposal and recycling at the end of life. The journal welcomes original submissions in the field of Systems Engineering as defined above, but also encourages contributions that take an even broader perspective including the design and operation of systems-of-systems, the application of Systems Engineering to enterprises and complex socio-technical systems, the identification, selection and development of systems engineers as well as the evolution of systems and systems-of-systems over their entire lifecycle. Systems Engineering integrates all the disciplines and specialty groups into a coordinated team effort forming a structured development process that proceeds from concept to realization to operation. Increasingly important topics in Systems Engineering include the role of executable languages and models of systems, the concurrent use of physical and virtual prototyping, as well as the deployment of agile processes. Systems Engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets the user needs. Systems Engineering may be applied not only to products and services in the private sector but also to public infrastructures and socio-technical systems whose precise boundaries are often challenging to define.
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