Changeability of factory structures is a key asset for producing companies. The idea of this dissertation is to quantify the fuzziness of data used within the factory planning process and to compensate the existing fuzziness through the systematic election of change enablers. Thereby, interdependencies between these enablers are taken into account in order to benefit from synergies when creating change enabler combinations. Thus, factory structures, which avoid over dimensioning and are therefore cost optimal, are developed.
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Changeability of factory structures is a key asset for producing companies. The idea of this dissertation is to quantify the fuzziness of data used within the factory planning process and to compensate the existing fuzziness through the systematic election of change enablers. Thereby, interdependencies between these enablers are taken into account in order to benefit from synergies when creating change enabler combinations. Thus, factory structures, which avoid over dimensioning and are therefor...
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