PGE – Produktgenerationsentwicklung am Beispiel des Zweimassenschwungrads

Albers, Albert; Bursac, Nikola; Rapp, Simon

doi:10.1007/s10010-016-0210-0

Cited by 34 publications

(23 citation statements)

References 3 publications

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“…The result reflects the current state of research but does not claim to be complete. Albers et al, 2017b;Albers et al, 2017a;Albers et al, 2019a;Bailom et al, 1996;Albers et al, 2014;Heismann and Maul, 2012, p. 41; Origin of the RSE: Albers et al, 2017b; Complexity of the RSE: Hubka, 1984, p. 87;Ehrlenspiel et al, 2014, p. 154;Wißler, 2006, p. 25; Maturity level of the RSE: Ehrlenspiel and Meerkamm, 2017, p. 49 From the literature research on the impact factors and the analysis of the impacts on the evaluation criteria of the G n , mainly impacts on cost and risk could be identified. For instance, increasing ICED21 complexity leads to increased development costs, as the complexity of the element correlates with the complexity of the task (Hubka, 1984, p. 87).…”

Section: Impact Of Variations and Characteristics Of Rse On General Evaluation Criteriamentioning

confidence: 99%

Modelling and Visualizing Knowledge on the Reference System and Variations Based on the Model of Pge – Product Generation Engineering for Decision Support

2021

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In 2019, Dyson had to cancel its ambitious electric car project after having already 500 Million pounds spent. This example shows how difficult it is to assess the consequences of decisions on development targets as cost, risk, and innovation potential. Knowledge about references, variation types and their impact on development targets can help to increase the maturity of the decision basis. The model of PGE - product generation engineering describes these interrelations using the reference system. This contribution deals with the question of how knowledge about the impact of variation types and characteristics of reference system elements on new product generations can be made usable through modelling and visualization. Therefore, characteristics of reference system elements and their impacts on common development targets are collected through literature research. To process this knowledge base in technical information systems, an Entity-Relationship data model is developed. Through the implementation of a VR visualization, the data model is validated and a first visualisation approach is shown. The findings of this work can be used to systematise research on impact factors in PGE and to develop further digital methods.

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Section: Impact Of Variations and Characteristics Of Rse On General Evaluation Criteriamentioning

confidence: 99%

Modelling and Visualizing Knowledge on the Reference System and Variations Based on the Model of Pge – Product Generation Engineering for Decision Support

2021

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“…No change in an element results in a carry-over variation. (Albers et al, 2017) Therefore, by analysing a reference system element the differences in the wirk-net show the variation shares for the product generation in focus. For instance, by using the previous generation (n-1) of an ECA-motor as the reference system element, the connections/ports show the variation shares of the generation currently under development (n).…”

Section: Application Of the Candc²-approachmentioning

confidence: 99%

“…For CV, no changes in WSP and CSS are made besides changes to the connectors as the boundaries of the system in focus. (Albers et al, 2017)…”

Section: Pge -Product Generation Engineeringmentioning

confidence: 99%

Supporting the Modelling in Mbse by Applying Product Generation Engineering Using Electronic Compact Actuators as an Example

Waschle

Martin

Radimersky

et al. 2020

Proc. Des. Soc.: Des. Conf.

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The development of a new motor can be a high effort. In this paper, Model-based Systems Engineering (MBSE) is applied to model the second generation of an electronic compact actuator (ECA). This paper focuses on the traceability between model elements from previous product generations. By integrating the approach of the PGE - Product Generation Engineering in MBSE, developers can store more relevant information in the model; they can accomplish automatic calculations of derived factors and build models more efficiently in further product developments.

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“…The function of the own products is known to the designer engineers, they are therefore more interested in the undesired system behaviour and its causes. The aim of the designers is to trace the undesired system behaviour back to certain design elements in order to be able to develop an improved development generation (Albers et al, 2017). The functional analysis does not depict this, since it only describes the identification of unknown functions of working systems (Matthiesen et al, 2017).…”

Section: Analysis In Engineering Designmentioning

confidence: 99%

Experimental Evaluation of a Debiasing Method for Analysis in Engineering Design

Nelius¹,

Matthiesen²

2019

Proc. Int. Conf. Eng. Des.

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During analysis in engineering design, systematic thinking errors - so-called cognitive biases - can lead to inaccurate understanding of the design problem. With a simplified version of the Analysis of Competing Hypotheses - ACH method and a simplified decision matrix, the confirmation bias in particular can be minimized. To evaluate this method, it was taught to experienced design engineers and mechanical engineering students. During the experimental evaluation the participants analysed a real technical problem. The procedures and results were compared with a previously conducted study with the same task. The design engineers have not changed their approaches and could not further improve their analysis success. The students profited considerably from the training. They have mentioned twice as much supporting evidence and six times as much contradicting evidence through the training indicating a more extensive analysis. As a result, the students showed significantly fewer signs of confirmation bias than without training. The findings suggest that debiasing strategies should be introduced early in engineering design education.

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PGE – Produktgenerationsentwicklung am Beispiel des Zweimassenschwungrads

Cited by 34 publications

References 3 publications

Modelling and Visualizing Knowledge on the Reference System and Variations Based on the Model of Pge – Product Generation Engineering for Decision Support

Modelling and Visualizing Knowledge on the Reference System and Variations Based on the Model of Pge – Product Generation Engineering for Decision Support

Supporting the Modelling in Mbse by Applying Product Generation Engineering Using Electronic Compact Actuators as an Example

Experimental Evaluation of a Debiasing Method for Analysis in Engineering Design

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