Systemigram Modeling for Contextualizing Complexity in System of Systems

Sauser, Brian; Boardman, John

doi:10.1002/9781118501757.ch11

Cited by 9 publications

(8 citation statements)

References 49 publications

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“…Hence, CATWOE was employed to look at the problem from the perspective of different stakeholders in the research. The Systemigram is a communication tool that provides “the ability to understand motivations, viewpoints, and interactions and address qualitative dimensions of problem situations.” , p. 281 Hence, it was employed to provide a graphical overview of the most influential aspects of the research problem and their interrelationships.…”

Section: Methodsmentioning

confidence: 99%

Conceptualization of a T‐Shaped engineering competency model in collaborative organizational settings: Problem and status in the Spanish aircraft industry

Delicado

Salado

Mompó³

2018

Systems Engineering

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There are persistent factors associated with ineffective systems engineering practice inherent in interdisciplinary teams. In this context, technical silos seem to be prevalent. The concept of team-based competencies emerges as a paradigm to facilitate effective collaborative interactions between technical specialists during a system's development. In particular, the T-Shaped competency model, while addressing the individual member, embodies the paradigm of complementing competencies of team members. In this way, specialty engineers could see their profiles complemented with a relevant self-awareness of the potential systemic impact of their particular tasks.Literature suggests that such self-awareness could improve their capacities to cross disciplinary borders, to move easily between the detailed level and the bigger picture of the system, and to interact better with other branches of engineering. Hence, the T-Shaped competency model holds promise in improving the effectiveness of systems engineering team. This paper provides two main contributions. The first contribution is an articulation of the problem related to team competencies in engineering problems based on existing literature. The second contribution is an assessment of the status of the problem in a representative actual industrial setting in Spain. The assessment is performed through an empirical qualitative study conducted with practicing engineers in the context of the modern aerospace enterprise in Spain. The results of the assessment show strong agreement with the core principles and ideas outlined in existing literature, and delineate additional issues not previously identified.

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Section: Methodsmentioning

confidence: 99%

Conceptualization of a T‐Shaped engineering competency model in collaborative organizational settings: Problem and status in the Spanish aircraft industry

Delicado

Salado

Mompó³

2018

Systems Engineering

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“…Sauser and Boardman 36 offer the systemigram as a method for modeling complexity to achieve a shared mental model 37 based on the soft systems methodology (SSM) of Checkland 38 The SSM and systemigram are often used to model systems in which the complexity has a sociotechnical aspect, or structural and dynamic complexity. The objective is to generate visualizations that reflect understanding of the needs of the stakeholders.…”

Section: Introductionmentioning

confidence: 99%

“…The objective is to generate visualizations that reflect understanding of the needs of the stakeholders. Sauser and Boardman 36 review the different methods of visualizing system complexity. There are inherent limitations when modeling systems with pictures, links, and words, where the resulting model is a static representation and cannot easily characterize emergent behavior and uncertainties, especially when describing a System of Systems (SoS).…”

Section: Introductionmentioning

confidence: 99%

Toward an integrated project complexity narrative – A case study of academic organizations

Fossum

Honoré‐Livermore

Veitch

et al. 2022

Systems Engineering

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The last decade has seen a growing interest in the benefits of applying project management (PM) and system engineering (SE) in an integrated way toward complex projects and programs. The concept of project complexity dimensions, with roots in both disciplines, is suggested as a component of an integrated project complexity narrative. This paper investigates how such a project complexity narrative is reflected when informants talk about the role of PM and SE in two academic organizations. Most informants address uncertainty and social-political risks as part of their work, but any consistent use of a project complexity narrative is related to environmental and technical systems.The findings also indicate difficulty differentiating between the concepts of complicated and complex. The paper further contemplates how these findings inform efforts to manage complex research projects and programs.

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“…Collaborative visualization technologies have proven ability to support learning, construction of group memories, and conflict management which is important for teamwork (Driskell et al, 2018; Yusoff & Salim, 2015). Visualization technologies have been used widely, including for semantic‐based visualized knowledge in education (Gu & Cai, 2018; Irizarry et al, 2012); building mental model representations in cognitive system engineering (Crandall et al, 2006); and representing causal loops, embedded structures, or relationships between groups of elements in complex dynamic systems (Meadows, 2008; Sauser & Boardman, 2015). For example, software visualization can enhance the comprehension of programs and their algorithms, and can be useful in debugging and teaching algorithms (Shimomura, 2013).…”

Section: Introductionmentioning

confidence: 99%

Use of collaborative concept mapping in team diagnosis

Pan

Wang

Zhang

et al. 2021

Hum Ftrs & Erg Mfg Svc

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Teamwork is necessary to accomplish challenging and information‐rich tasks in complex industrial systems, such as fault diagnosis in nuclear power plants. To improve team performance, assistive visualization tools are used to promote communication and reduce cognitive conflicts. As a shared visualization technology, collaborative concept mapping can effectively externalize one's thoughts into a visualized structure, thereby improving the efficiency of communication and information processing. This study accordingly investigates the effects of collaborative concept mapping on team diagnosis in two fault situations with different complexity levels in a simulated nuclear power plant: one caused by a single initiating event, and the other triggered by two initiating events. The dependent variables included fault analysis score, diagnostic result score, diagnosis time, workload, score of concept map content, and fixation time on a teammate's concept map. The findings revealed that collaborative concept mapping significantly improved the diagnostic result score and shortened diagnosis time, and marginally but significantly increased the fault analysis score. However, under the more complex fault situation triggered by two initiating events, this tool also significantly increased participants’ physical load and frustration level. Future work should focus on how collaborative concept mapping can improve operator performance while causing as little extra workload as possible, as well as explore its effects on experienced operators.

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Systemigram Modeling for Contextualizing Complexity in System of Systems

Cited by 9 publications

References 49 publications

Conceptualization of a T‐Shaped engineering competency model in collaborative organizational settings: Problem and status in the Spanish aircraft industry

Conceptualization of a T‐Shaped engineering competency model in collaborative organizational settings: Problem and status in the Spanish aircraft industry

Toward an integrated project complexity narrative – A case study of academic organizations

Use of collaborative concept mapping in team diagnosis

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