Conceptual modeling to support system‐level decision‐making: An industrial case study from the Norwegian energy domain

IF 1.6 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL
Siv Engen, G. Muller, K. Falk
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引用次数: 0

Abstract

This article explores conceptual modeling to support system‐level decision‐making during concept evaluation. The system‐level decisions made in the concept phases decide most of the systems' value and cost. The context for our research is the Norwegian energy domain. Through an industrial case study in a global subsea system supplier company, we have explored conceptual modeling to support system‐level decision‐making in the conceptual phase. From the insights and learnings gained in the industry case, the article proposes an approach for using conceptual modeling to support System‐Level Decision‐Making. Further, the article presents three examples of applications to demonstrate the use of the approach. To evaluate the approach's usefulness in the industrial setting, we conducted a survey of 37 engineers in the company of research. The engineers perceive that using the approach would improve awareness of the system context and support a holistic mindset. Furthermore, the engineers perceive the conceptual models as efficient for knowledge sharing and communication, especially in meetings between technical and non‐technical personnel. The engineers identify simplicity as a top benefit of the approach but also as a concern. Balancing the need for abstracting with the need for being specific is a crucial challenge in modeling. The survey also shows concerns about the implementation of the approach and the effort required to use the approach in daily work. The primary outcome of the research is insights into how conceptual modeling can support system‐level decision‐making in the industrial context.
支持系统级决策的概念建模:挪威能源领域的工业案例研究
本文探讨了概念建模,以支持概念评估过程中的系统级决策。在概念阶段做出的系统级决策决定了系统的大部分价值和成本。我们研究的背景是挪威的能源领域。通过对一家全球海底系统供应商公司的行业案例研究,我们探索了概念建模,以支持概念阶段的系统级决策。根据在行业案例中获得的见解和经验,本文提出了一种使用概念建模来支持系统级决策的方法。此外,本文还提供了三个应用程序示例来演示该方法的使用。为了评估该方法在工业环境中的有用性,我们对研究公司的37名工程师进行了调查。工程师们认为,使用这种方法将提高对系统环境的认识,并支持整体思维。此外,工程师们认为概念模型对于知识共享和交流是有效的,尤其是在技术人员和非技术人员之间的会议上。工程师们认为简单是该方法的最大优点,但也是一个值得关注的问题。在建模中,平衡抽象需求和具体需求是一个至关重要的挑战。调查还显示,人们对该方法的实施以及在日常工作中使用该方法所需的努力表示担忧。该研究的主要成果是深入了解概念建模如何支持工业背景下的系统级决策。
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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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