The aim of this research project is to apply a SOM (self organizing map) based system to shorten the time for conceptual design of an adaptable product development. Therefore an SOM-based system can be applied on requirement lists of existing products to identify solutions that are suitable as a development base for a new product order. The engineer is able to select one of these proposed solutions as a development base. This can be adapted with a minimal effort for the new product order. This increases the customer satisfaction, because the new product is based on an approved product. To apply specifications provided by OEMs (original equipment manufacturers) to SOM, the requirements have to be extracted and edited. This process has several steps. In this chapter an emphasis is put on the quantification of the requirements. First the requirements are distinguished into six different types, which are all either quantitative or qualitative. In this context a description by an exact word is also considered as quantitative. Examples are the assignment of a material or a standard, which has to be fulfilled. In case of a description by word the quantitative requirements need a preparation. Furthermore all qualitative requirements need to be prepared. Examples are shown for each type. Currently the quantification of different types of requirements is made in workshops by experts. This is time-consuming and expensive. In future the aim is to use fuzzy-sets. Therefore the requirements have to be prepared further. The requirement demanding "the bonnet locking system to be user-friendly" is easily assessable for experts. For a fuzzy-set this requirement will be split into elementary requirements, e.g. defining a maximum hand-force needed and optimal shape of the grip.


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    Title :

    Computerised range of products in the automotive supply industry


    Contributors:


    Publication date :

    2010


    Size :

    6 Seiten, 7 Bilder, 9 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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