Function Modeling: A Modeling Behavior Analysis of Pause Patterns

Patel, Apurva; Kramer, William S.; Flynn, Michelle; Summers, Joshua D.; Shuffler, Marissa L.

doi:10.1115/1.4046999

Cited by 7 publications

(2 citation statements)

References 22 publications

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“…By constructing a gene library, a cluster of design experience knowledge can be realized. Different from prior studies [6] on behavior design process, the direction of the design solution is clustered based on the homologous. In the expected operational behavior recombination process, the design knowledge source is screened from the homologous product gene bank by the calculated similarity between the design target and the available design direction.…”

Section: Contributionmentioning

confidence: 99%

“…However, the optimization process is based on experience feedback, which makes design tasks larger and slower. Patel presented a behavior-based protocol study where the participants developed function-structure models for a novel design problem [6]. Among them, the further supplement and refinement of FBS is one of the main research routes…”

Section: Introduction mentioning

confidence: 99%

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Interactive mechanical product innovation design method based on FBS extended by behavior layer

Bai

Sun

ZHANG

et al. 2023

Preprint

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Function-behavior-structure (FBS) method models the functional structure and principle scheme in conceptual design by connecting three variables: product function, behavior, and structure. The traditional FBS method cannot deal effectively with the cooperation problem between man and machine in the function achievement process. This paper proposes an FBS-based interactive mechanical product design method by extending the behavior layer. First, define and transform operational behavior from the function to the behavior layer. Second, the genetic engineering method is used in expected operational behavior design. In this part, the operational behavior as genetic information is constructed to operational behavior genes model by Extenics theory. Based on a homology product sample library, screen the target gene through the GloVe model and similarity algorithm. The original operational behavior is then modified to an expected one by Extenics transformation. Finally, the product structure is obtained through an analogy transformation process. This way, the operational behavior problem in the interactive mechanical product can be solved by this FBS design process. The feasibility and effectiveness of the proposed process are verified in the development of an apple picking device.

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Section: Contributionmentioning

confidence: 99%

Section: Introduction mentioning

confidence: 99%

Interactive mechanical product innovation design method based on FBS extended by behavior layer

Bai

Sun

ZHANG

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Evaluating the effectiveness of functional decomposition in early-stage design: development and application of problem space exploration metrics

She,

Belanger,

Bartels

2024

Res Eng Design

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This paper aims to explore metrics for evaluating the effectiveness of functional decomposition methods regarding problem space exploration at the early design stage. Functional decomposition involves breaking down the main purpose of a complex problem or system into a set of more manageable sub-functions, leading to a clearer understanding of the problem space and its various aspects. While various metrics have been used to evaluate functional decomposition outcomes, little literature has focused on assessing its effectiveness in problem space exploration. To address the gap, this research introduces three metrics for problem space evaluation defined by functional models: quantity of unique functions (M1), breadth and depth of the hierarchical structure (M2), and relative semantic coverage ratio of the problem space (M3). An example study is conducted to illustrate the evaluation process, comparing functional analysis with and without explicit human-centric considerations using a power screwdriver as a case product. The analysis in the example study reveals that the breadth of the hierarchical structure (part of M2) is marginally larger in the condition with explicit human-centric considerations (Condition A) compared to the condition without such considerations (Condition B). However, no significant differences are observed in terms of other metrics. The qualitative analysis based on semantic comparisons suggests that Condition A facilitates participants in generating a diverse set of functions supporting user safety requirements more effectively than Condition B. Overall, the example study demonstrates the evaluation process for each metric and discusses their nuances and limitations. By proposing these metrics, this research contributes to benchmarking and evaluating the effectiveness of different methods in promoting functional analysis in engineering design. The metrics provide valuable insights into problem space exploration, offering designers a better understanding of the efficacy of their functional decomposition methods in early design stages. This, in turn, fosters more informed decision-making and contributes to the advancement of functional analysis methodologies in engineering design practices.

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Accessibility Versus Feasibility: Optimizing Function Allocation for Accommodation of Heterogeneous Populations

Knisely

Vaughn-Cooke

2021

Journal of Mechanical Design

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Human beings are physically and cognitively variable, leading to a wide array of potential system use cases. To design safe and effective systems for highly heterogeneous populations, engineers must cater to this variability to minimize the chance of error and system failure. This can be a challenge because of the increasing costs associated with providing additional product variety. Most guidance for navigating these trade-offs is intended for late-stage design, when significant resources have been expended, thus risking expensive redesign or exclusion of users when new human concerns become apparent. Despite the critical need to evaluate accommodation-cost trade-offs in early stages of design, there is currently a lack of structured guidance. In this work, an approach to function modeling is proposed that allows the simultaneous consideration of human and machine functionality. This modeling approach facilitates the allocation of system functions to humans and machines to be used as an accessible baseline for concept development. Further, a multi-objective optimization model was developed to allocate functions with metrics for accommodation and cost. The model was demonstrated on a design case study. 16 senior mechanical engineering students were recruited and tasked with performing the allocation task manually. The results were compared to the output of the optimization model. Results indicated that participants were unable to produce concepts with the same accommodation-cost efficiency as the optimization model. Further, the optimization model successfully produced a wide range of potential product concepts, demonstrating its utility as a decision-aid.

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Function Modeling: A Modeling Behavior Analysis of Pause Patterns

Cited by 7 publications

References 22 publications

Interactive mechanical product innovation design method based on FBS extended by behavior layer

Interactive mechanical product innovation design method based on FBS extended by behavior layer

Evaluating the effectiveness of functional decomposition in early-stage design: development and application of problem space exploration metrics

Accessibility Versus Feasibility: Optimizing Function Allocation for Accommodation of Heterogeneous Populations

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