The trend in today's car industry is towards more variants and lower volume. To achieve the target costs, it is necessary to use standard modules across several car lines. Implying the high complexity of module based car development, this paper deals with methodologies to increase the robustness of standard modules. Different solutions for standard modules are consolidated during the earliest stages of car development. The presented method Early Robustness Optimization (ERO) seeks to optimize the robustness of conventional and innovative solutions. Following, the automated optimization in terms of implementation of ERO is embedded into car development. Whereas technical robustness of standard modules can be achieved by ERO, humans as users of ERO have a huge influence on the actual achievable robustness. To investigate the human influence, an interface model is generated. This model distinguishes the demands of a process on humans from the requirements of humans on a process. Whereas an arbitrary process relatively clearly determines the demands on humans, the human requirements on a process can not be derived from the process. Therefore, the critical success factors are transformed from the perspective of project management to process management based on surveys among designers. The automated process of ERO has been developed regarding the identified critical success factors. Those factors are currently described qualitatively. In order to be feasible from the management's view, the transformation from qualitative description to quantitative determination has to be investigated during the use of ERO as a part of the car development process. Then, the discrepancy between technical demands and human requirements can be quantified. The management's task based upon is to minimize the identified discrepancy. This optimizes the process robustness and consequently the overall robustness of the automotive module.


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    Title :

    Early robustness optimization of automotive modules - regarding the key impact of the human factor


    Contributors:


    Publication date :

    2011


    Size :

    10 Seiten, 7 Bilder, 1 Tabelle, 16 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English