{"title":"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","authors":"Siv Engen, G. Muller, K. Falk","doi":"10.1002/sys.21649","DOIUrl":null,"url":null,"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.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conceptual modeling to support system‐level decision‐making: An industrial case study from the Norwegian energy domain\",\"authors\":\"Siv Engen, G. Muller, K. Falk\",\"doi\":\"10.1002/sys.21649\",\"DOIUrl\":null,\"url\":null,\"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. 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Conceptual modeling to support system‐level decision‐making: An industrial case study from the Norwegian energy domain
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.
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.