Product Models in Mechatronic Design: Literature Analysis on the Interdisciplinary Character of Product Models

Weidmann, Dominik; Isemann, Moritz; Kandlbinder, Peter; Hollauer, Christoph; Kattner, Niklas; Becerril, Lucia; Lindemann, Udo

doi:10.23919/picmet.2017.8125397

Cited by 7 publications

(14 citation statements)

References 10 publications

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“…To investigate research question 1, a systematic literature research approach is used. The results are processed and categorized to differentiate product models in design engineering based on studies by Weidmann et al [12] and Wynn and Clarkson [7]. In the following subsections, the methods and materials used are described in further detail.…”

Section: Methodsmentioning

confidence: 99%

“…The method to differentiate the product models is based on similar model categorization work. Weidmann et al [12] categorize product models for mechatronic design according to discipline, type of depiction, engineering phase, and type of information. These categories are used to structure the research results in detail and give an overview of their focus and range.…”

Section: Product Model Differentiationmentioning

confidence: 99%

“…Following the definition of Weidmann et al in mechatronic design [12], product models are differentiated according to their type of depiction. Weidmann et al distinguish between analytical, graphical, table/matrix, textual, and physical representations of the product.…”

Section: Type Of Depictionmentioning

confidence: 99%

“…The four categories of information are function, behavior, qualitative embodiment, and quantitative embodiment. They are based on Weidmann et al [12] and adapted to embodiment design using more detailed categories from Pahl/Beitz [14] and Matthiesen [15]. The basic terms function and behavior are used according to [16].…”

Section: Type Of Informationmentioning

confidence: 99%

“…For process models, a framework exists for researchers to position their models and practitioners to gain an overview of these models [7]. For industry-relevant product models in the field of mechatronic design, overlapping usage was studied in the disciplines of mechanical, electrical, and software engineering of mechatronic product development [12]. This work reveals that research into model structuring approaches is important in product development.…”

Section: Introductionmentioning

confidence: 99%

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Product models in embodiment design: an investigation of challenges and opportunities

et al. 2019

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In product development, many different models of the product and the development process exist. In the phase of embodiment design, models of the product are essential. Finding a suitable product model for an embodiment design task can be challenging, because many different models are available. The aim of this contribution is to categorize existing product models in embodiment design and to develop an initial approach to structured product model selection. The product models are obtained from a systematic literature review. Criteria for structuring are derived from similar research into process models and interdisciplinary models for product development. The identified models are categorized in an overview and a tabular detailed analysis of their characteristics. A guideline on how to identify suitable models using the overview and table is developed. This guideline is explained with a structured product model selection process being used as an example. To sum up, this contribution is to initially support design engineers in choosing suitable models for their tasks.

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Section: Methodsmentioning

confidence: 99%

Section: Product Model Differentiationmentioning

confidence: 99%

Section: Type Of Depictionmentioning

confidence: 99%

Section: Type Of Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Product models in embodiment design: an investigation of challenges and opportunities

et al. 2019

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Engineering complexity beyond the surface: discerning the viewpoints, the drivers, and the challenges

2023

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Complexity is often regarded as a “problem” to solve. Instead of attempting to solve complexity, we follow systems engineering practices and switch back to the problem domain, where a major obstacle is the impossibility to universally define complexity. As a workaround, we explored complexity characterization and its existing shortcomings, including: lack of standardization, inconsistent semantics, system-centricity, insufficiently transparent reasoning, and lack of validation. To address these shortcomings, we proposed a compilatory framework to characterize complexity using the Five Ws information-gathering method. The answer to the WHO question proposed four complexity viewpoints; the answer to the WHY question proposed a two-dimensional structure for complexity drivers; and the answer to the WHAT question derived generalized complexity challenges. As a preliminary step to show the potential of the framework to characterize complexity, we used and validated it as a tool to structure general literature related to complexity. In general, our findings suggest that papers with complexity solutions do not frame their research within the complexity problem domain, hindering the contribution evaluation. Through the viewpoints, we identified general research gaps of six solution directions. From the drivers, we noted three observations in the discourse of complexity origins: (1) a system-driven tendency, (2) a preference for concreteness vs. abstraction, and (3) an unclear distinction between origins and effects. Through the challenges’ findings we explored two hypotheses: (1) a system-centric preference; and (2) a solution-oriented vision, both of which were supported by the results (most challenges relate to the system viewpoint and challenges are defined based on solution directions).

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Mapping the landscape of product models in embodiment design

Paehler,

Matthiesen

2024

Res Eng Design

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During an engineering design process, designers create sequences of product models by switching between product models with different purposes. To enable an efficient use of these product models, researchers are required to anticipate the compatibility of the models in application by designers. This is necessary as the information in an existing product model may not be usable for a subsequent product model. However, the corresponding information on compatibility was not accessible to researchers as it was scattered across various publications. Hence, the objective of this contribution was to develop a structured overview, a landscape of linkable and non-linkable product models in embodiment design to merge the information. For this purpose, a literature review containing a grounded theory-based analysis was conducted and the results were visualized using the network visualization software Gephi. The key learnings of the visualized landscape of 52 product models can be summarized as follows: (1) some models are already closely linked to each other by compatible inputs and outputs; (2) other product models are noticeable with mostly unknown linking possibilities due to incompatible inputs and outputs or insufficient descriptions in the literature. 14 product models offer two linking possibilities or less. In these cases, it is unclear how they interact with other product models in an engineering design process. In conclusion, the product model landscape provides insight into the compatibility of product models to support the development of existing and new product models for sequential use by designers.

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Product Models in Mechatronic Design: Literature Analysis on the Interdisciplinary Character of Product Models

Cited by 7 publications

References 10 publications

Product models in embodiment design: an investigation of challenges and opportunities

Product models in embodiment design: an investigation of challenges and opportunities

Engineering complexity beyond the surface: discerning the viewpoints, the drivers, and the challenges

Mapping the landscape of product models in embodiment design

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