Conceptual Models to Support Reasoning in Early Phase Concept Evaluation - a Subsea Case Study

Engen, Siv; Falk, Kristin; Müller, Gerrit

doi:10.1109/sose52739.2021.9497467

Cited by 7 publications

(21 citation statements)

References 36 publications

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“…The first rectangle shows the previous work, where we identified the needs and challenges in decision-making and tested modeling in the industrial setting. [15][16][17][18]49 The following rectangles in Figure 1 show the steps of the research that this article presents. In step 1, we synthesize the insights and learnings from the testing in the industry.…”

Section: Methodsmentioning

confidence: 99%

“…We experienced that many expressed needs and drivers were identified, communicated, and used differently throughout the project. 16 To support the engineers in mapping the key drivers, we give guidelines to what a key driver is and how to express them. These guidelines are adapted from Muller.…”

Section: Introduction To the Approachmentioning

confidence: 99%

“…The guidelines give recommendations to support identifying the essential tensions from insights gained in application. 16 Figure 10 shows schematics of relating the concepts to the key drivers and identifying tensions.…”

Section: Introduction To the Approachmentioning

confidence: 99%

“…13 Case studies in the energy industry have shown that the conceptual models support the engineers in making the tradeoffs, 14,15 but they still lack the means to apply them in their daily work. 16 Over 3 years, we have conducted longitudinal research of the concept studies in a Norwegian subsea system supplier to the energy domain. Studies of the current practice in the industry showed a lack of consideration of system context and life-cycle needs.…”

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confidence: 99%

“…We have applied and explored conceptual modeling through several test cases in the company and found the models to support the concept studies. 15,16 This study presents the final stage of our research. Based on the findings in the test cases and 3 years of research in the industry, we propose an approach for using conceptual modeling to support system-level decision-making.…”

mentioning

confidence: 99%

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

Engen

Müller

Falk

2022

Systems Engineering

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Introduction To the Approachmentioning

confidence: 99%

Section: Introduction To the Approachmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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

Engen

Müller

Falk

2022

Systems Engineering

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Conceptual Modeling for Early‐Phase Decision‐Making in the Maritime Industry: A Case Study of Power Generation System Concept Selection

Grønningsæter,

Engen

2024

INCOSE International Symp

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This study examines the use of conceptual modeling to aid in selecting a power generation system concept in the maritime industry. The research objective is to understand how conceptual modeling can enhance decision‐making during the early phases of concept evaluation. The study was conducted at a world‐leading maritime technology company to address the need for more formal processes to support decision‐making in complex development projects. The study applied a conceptual modeling approach in an industry case to facilitate decision‐making in the early phases of a development project. The study shows that conceptual modeling is effective in supporting early‐phase decision‐making in the development project. Conceptual models effectively manage complexity, enhance understanding, and enable effective communication among team members. By combining conceptual modeling with a Pugh matrix, informed decision‐making is facilitated, aligning with stakeholders' objectives. Overall, conceptual modeling provides a structured representation of the problem domain, guiding early‐phase decision‐making.

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Concepts for Future Traffic Management Supporting Automation, Multimodal Coordination and Resilience

Natvig¹,

Stav²,

Stene³

2023

Preprint

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Conceptual Models to Support Reasoning in Early Phase Concept Evaluation - a Subsea Case Study

Cited by 7 publications

References 36 publications

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

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

Conceptual Modeling for Early‐Phase Decision‐Making in the Maritime Industry: A Case Study of Power Generation System Concept Selection

Concepts for Future Traffic Management Supporting Automation, Multimodal Coordination and Resilience

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