LINKAGE OF METHODS WITHIN THE UMEA METHODOLOGY - AN APPROACH TO ANALYSE UNCERTAINTIES IN THE PRODUCT DEVELOPMENT PROCESS
TL;DRAbstract
In its entire life cycle every product is exposed to different uncertainties. In technical systems, these uncertainties are generally understood as deviations from product and process properties. In the development processes uncertainties particularly occur when modelling and forecasting technical or economic product and process properties.The Uncertainty Mode and Effect Analysis (UMEA) Methodology forms a strategic procedure to analyse uncertainties and their consequences. The Objective of this paper is to show the use of methods within the UMEA Methodology during the phases of the product development process. In doing so uncertainties are recorded and described systematically at all virtual and real life cycle processes. In order to implement the UMEA, methods were allocated to different phases of the product development process. As shown in the following, particularly in their combination and interlinking these methods allow the detection and evaluation of uncertainties.
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In its entire life cycle every product is exposed to different uncertainties. In technical systems, these uncertainties are generally understood as deviations from product and process properties. In the development processes uncertainties particularly occur when modelling and forecasting technical or economic product and process properties.The Uncertainty Mode and Effect Analysis (UMEA) Methodology forms a strategic procedure to analyse uncertainties and their consequences. The Objective of this paper is to show the use of methods within the UMEA Methodology during the phases of the product development process. In doing so uncertainties are recorded and described systematically at all virtual and real life cycle processes. In order to implement the UMEA, methods were allocated to different phases of the product development process. As shown in the following, particularly in their combination and interlinking these methods allow the detection and evaluation of uncertainties.
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