Ein Klassifizierungssystem zur Anforderungssystematisierung

Horber, Dennis; Erlangen-Nürnberg, Friedrich-Alexander-Universität; Schleich, Benjamin; Wartzack, Sandro

doi:10.35199/dfx2019.20

Cited by 3 publications

(5 citation statements)

References 2 publications

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“…In classification, the aim is to classify a new datapoint with respect to given classes of datapoints, also based on an initial dataset. For example, requirements for a given product can be classified into different classes, e.g., organisation, function, technology, as well as overarching boundary conditions [17]. One problem of the application of supervised learning methods is that the trained model learns only the training data by role and thus learns the pure data points rather than the correlations in data.…”

Section: Digital Engineeringmentioning

confidence: 99%

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Gerschütz

Sauer

Kormann

et al. 2023

Designs

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This work aims to evaluate the current state of research on the use of artificial intelligence, deep learning, digitalization, and Data Mining in product development, mainly in the mechanical and mechatronic domain. These methods, collectively referred to as “digital engineering”, have the potential to disrupt the way products are developed and improve the efficiency of the product development process. However, their integration into current product development processes is not yet widespread. This work presents a novel consolidated view of the current state of research on digital engineering in product development by a literature review. This includes discussing the methods of digital engineering, introducing a product development process, and presenting results classified by their individual area of application. The work concludes with an evaluation of the literature analysis results and a discussion of future research potentials.

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Section: Digital Engineeringmentioning

confidence: 99%

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Gerschütz

Sauer

Kormann

et al. 2023

Designs

Self Cite

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“…Moreover, the utilization of NLP and formalized design knowledge enables an automatic classification of requirements leading to a clear understanding of the intention of the requirement and a computer-aided derivation of functions, KCs and their attributes. The classification uses the classes necessity (wish/demand), aspect (qualitative/quantitative) and condition (hurdle/optimization) defined in preliminary work (Horber et al, 2019). Since this classification focuses on the automated derivation of evaluation criteria (Horber et al, 2020), it is reasonable for the intended robustness evaluation.…”

Section: Simultaneous Definition Of Key Characteristicsmentioning

confidence: 99%

Simultaneous Definition of Key Characteristics in Order to Facilitate Robust Design in Early Product Development Stages

et al. 2021

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The success of complex product development projects strongly depends on the clear definition of target factors that allow a reliable statement about the fulfilment of the product requirements. In the context of tolerancing and robust design, Key Characteristics (KCs) have been established for this purpose and form the basis for all downstream activities. In order to integrate the activities related to the KC definition into product development as early as possible, the often vaguely formulated requirements must be translated into quantifiable KCs. However, this is primarily a manual process, so the results strongly depend on the experience of the design engineer.In order to overcome this problem, a novel computer-aided approach is presented, which automatically derives associated functions and KCs already during the definition of product requirements. The approach uses natural language processing and formalized design knowledge to extract and provide implicit information from the requirements. This leads to a clear definition of the requirements and KCs and thus creates a founded basis for robustness evaluation at the beginning of the concept design stage. The approach is exemplarily applied to a window lifter.

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“…In multi-criteria decision-making, suitable evaluation criteria are required in order to compare the different alternatives and identify the best solution. As stated by Horber et al (2019), derivation is possible through assigning the requirements to different classes (Figure 1). The relevant requirement classes and different types of evaluation criteria are explained within this section.…”

Section: Requirement Classification For Derivation Of Evaluation Criteriamentioning

confidence: 99%

“…Every linguistic specification therefore differs in the interpretation of these limitations. As stated from Horber et al (2019), the requirement purpose can be represented by different classes according to their necessity, aspect as well as condition and later be used for the derivation of evaluation criteria.…”

Section: Requirement Classesmentioning

confidence: 99%

“…Requirements limit the solution space and have to receive consideration also within decision-making. Therefore, product requirements can be seen as evaluation criteria in a certain way and must be transformed into these criteria (Horber et al, 2019). Consistent criteria models are necessary in order to prevent from wrong decisions caused by insufficient consideration of single criteria.…”

Section: Introductionmentioning

confidence: 99%

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Conceptual Model for (Semi-) Automated Derivation of Evaluation Criteria in Requirements Modelling

Horber

Schleich

Wartzack

2020

Proc. Des. Soc.: Des. Conf.

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Requirements act as a limitation of the solution space, which represents the stakeholders’ needs and guides the whole product development process. Therefore, forgotten requirements can lead to wrong decisions when using them as a basis for decision-making. This contribution introduces a novel approach to link the requirement and evaluation criteria models to address this problem. For setting up those criteria consistently, the requirements are classified using natural language processing and derived by a ruleset based on a developed mapping between requirement classes and criteria types.

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Ein Klassifizierungssystem zur Anforderungssystematisierung

Cited by 3 publications

References 2 publications

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

Simultaneous Definition of Key Characteristics in Order to Facilitate Robust Design in Early Product Development Stages

Conceptual Model for (Semi-) Automated Derivation of Evaluation Criteria in Requirements Modelling

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