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    Forecast of the Feasibility of Aviation-to-Automotive Methods Transfer by Empirical Quantification

    Source: Journal of Autonomous Vehicles and Systems:;2026:;volume( 006 ):;issue:004::page 99
    Author:
    Akkus, Yusuf
    ,
    Annighöfer, Björn
    DOI: 10.1115/1.4071924
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This study introduces an empirical approach to quantify the feasibility of transferring development methods across domains. The approach evaluates transfer proposals using an overall feasibility score and specific criteria such as cost, quality, and time. The Project Management Triangle was selected as the basis for this decision tool because its constraints can be quantified. The model produces a score on a scale from 0 to 10, based on two elements: the impact on automotive development and the relevance for automotive practices. Relevance was determined through a survey of 126 engineers from a commercial vehicle manufacturer, focusing on preferences regarding methods, processes, and tools. Survey results were used to weight the three constraints, improving forecast accuracy for the automotive domain. Model validation employed a previous study on common cause analysis for redundant chassis control systems, where aviation best practices were adapted for automotive. Engineers who applied gave their observed score. The forecasted feasibility score of 6.758 was compared with an observed score of 5.833, yielding an accuracy of 14%, which classifies the model as good. The proposed method offers three contributions: it provides a quantified feasibility assessment for cross-domain transfers, combines qualitative and quantitative indicators, and customizes weighting based on target group relevance. Limitations include reliance on data from a single manufacturer and validation based on one-method transfer. Overall, the approach demonstrates potential as a decision-support tool for reducing risks in cross-domain technology adoption.
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      Forecast of the Feasibility of Aviation-to-Automotive Methods Transfer by Empirical Quantification

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    contributor authorAkkus, Yusuf
    contributor authorAnnighöfer, Björn
    date accessioned2026-08-23T08:00:07Z
    date available2026-08-23T08:00:07Z
    date copyright2026/10/01
    date issued2026
    identifier issn2690-702X
    identifier otherjavs-26-1006.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315929
    description abstractAbstract. This study introduces an empirical approach to quantify the feasibility of transferring development methods across domains. The approach evaluates transfer proposals using an overall feasibility score and specific criteria such as cost, quality, and time. The Project Management Triangle was selected as the basis for this decision tool because its constraints can be quantified. The model produces a score on a scale from 0 to 10, based on two elements: the impact on automotive development and the relevance for automotive practices. Relevance was determined through a survey of 126 engineers from a commercial vehicle manufacturer, focusing on preferences regarding methods, processes, and tools. Survey results were used to weight the three constraints, improving forecast accuracy for the automotive domain. Model validation employed a previous study on common cause analysis for redundant chassis control systems, where aviation best practices were adapted for automotive. Engineers who applied gave their observed score. The forecasted feasibility score of 6.758 was compared with an observed score of 5.833, yielding an accuracy of 14%, which classifies the model as good. The proposed method offers three contributions: it provides a quantified feasibility assessment for cross-domain transfers, combines qualitative and quantitative indicators, and customizes weighting based on target group relevance. Limitations include reliance on data from a single manufacturer and validation based on one-method transfer. Overall, the approach demonstrates potential as a decision-support tool for reducing risks in cross-domain technology adoption.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleForecast of the Feasibility of Aviation-to-Automotive Methods Transfer by Empirical Quantification
    typeJournal Paper
    journal volume6
    journal issue4
    journal titleJournal of Autonomous Vehicles and Systems
    identifier doi10.1115/1.4071924
    journal fristpage99
    journal lastpage106
    page8
    treeJournal of Autonomous Vehicles and Systems:;2026:;volume( 006 ):;issue:004
    contenttypeFulltext
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