Workflow Modelling of Intended System Use

Beek, T. van; Tomiyama, Tetsuo

doi:10.1007/978-90-481-9849-8_10

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…The application of these methods for the system-level analysis, linking between the customer and logical layers, and across multiple disciplines including software, has been very limited. Other well-known functional modeling methods, such as the function–behavior–structure (FBS) model of Umeda et al (1990) and the structure–behavior–function (SBF) model of Goel et al (2009), which focus on the linkage between function and the intended behavior and structure of the system, were not seen to have a consistent application in industrial practice, which is also confirmed by observations in literature (e.g., van Beek & Tomiyama, 2009; Tomiyama et al, 2013).…”

Section: Introductionsupporting

confidence: 52%

“…Physical phenomena regulate the changes of entity attributes by relating them to physical laws (Alvarez Cabrera et al, 2009). The representation of a functional model using the FBS model can easily and quickly become complicated and bulky, as the model consists of too many nodes and edges (van Beek & Tomiyama, 2009).…”

Section: Function Modeling Backgroundmentioning

confidence: 99%

“…The multidisciplinary nature of technical systems introduces important integration challenges (Tomiyama et al, 2007; Hehenberger et al, 2016) to overcome disciplinary boundaries associated with prevalent discipline-specific approaches in conventional engineering education and design tools and methods (D'Amelio & Tomiyama, 2007). It is particularly difficult to assess and predict system interactions early in the engineering design process, which makes the management of multidisciplinary system integration a very difficult task (Lindemann et al, 2009; van Beek & Tomiyama, 2009). This becomes an even bigger challenge with the design analysis of cyberphysical systems (Hehenberger et al, 2016) that are expected to operate autonomously in nondeterministic conditions with open architectures.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Function modeling using the system state flow diagram

Yildirim

Campean

Williams

2017

AIEDAM

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This paper introduces a rigorous framework for function modeling of complex multidisciplinary systems based on the system state flow diagram (SSFD). The work addresses the need for a consistent methodology to support solution-neutral function-based system decomposition analysis, facilitating the design, modeling, and analysis of complex systems architectures. A rigorous basis for the SSFD is established by defining conventions for states and function definitions and a representation scheme, underpinned by a critical review of existing literature. A set of heuristics are introduced to support the function decomposition analysis and to facilitate the deployment of the methodology with strong practitioner guidelines. The SSFD heuristics extend the existing framework of Otto and Wood (2001) by introducing a conditional fork node heuristic, to facilitate analysis and aggregation of function models across multiple modes of operation of the system. The empirical validation of the SSFD function modeling framework is discussed in relation to its application to two case studies: a benchmark problem (glue gun) set for the engineering design community; and an industrial case study of an electric vehicle powertrain. Based on the evidence from the two case studies presented in the paper, a critical evaluation of the SSFD function modeling methodology is discussed based on the function benchmarking framework established by Summers et al. (2013), considering the representation, modeling, cognitive, and reasoning characteristics. The significance of this paper is that it establishes a rigorous reference framework for the SSFD function representation and a consistent methodology to guide the practitioner with its deployment, facilitating its impact to industrial practice.

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Section: Introductionsupporting

confidence: 52%

Section: Function Modeling Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Function modeling using the system state flow diagram

Yildirim

Campean

Williams

2017

AIEDAM

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Improve Syntax Correctness and Breadth of Design Space Exploration in Functional Analysis

She

Belanger

Bartels

et al. 2022

Journal of Mechanical Design

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Functional analysis aims to decompose complex product main functions into manageable sub-functions. Novice and experienced designers have reported challenges with functional analysis such as high cognitive loads, and difficulties in identifying and expressing functions. Recently, interest in explicitly considering users during functional modeling has grown to enhance analysis completeness, but how this addresses commonly reported challenges is not clear. This research proposes and assesses a simple way to streamline user considerations for novice designers (i.e., embedding requirements into a user workflow explicitly) as a potential mitigation for some challenges in functional analysis at physical product early design stage. Analyses of the results indicate that workflow helps novice designers generate significantly more functions with correct syntax. In addition, the exploration space is prominently broader (especially at higher levels) when a workflow is presented as measured by the geometry of the generated tree diagrams. These results suggest that strategically incorporating user considerations in functional analysis, even in a simple way, has a positive effect in addressing commonly reported challenges of functional analysis. The better outcome from the functional analysis will likely be instrumental in later systematic conceptual design.

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Workflow Modelling of Intended System Use

Cited by 2 publications

References 3 publications

Function modeling using the system state flow diagram

Function modeling using the system state flow diagram

Improve Syntax Correctness and Breadth of Design Space Exploration in Functional Analysis

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