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Item type:Publication, Access status: with files , Simulation-based performance analysis for future robust modular product architecturesThe increased demand for customer-adapted product solutions shows an increasing trend of product variety, leading to an increased internal variety and therefore -costs. The concept of modularization provides apossible solution to this challenge by developing modular kits. Nevertheless, modularization methods to not lead to one individual modular kit, but to several alternatives. The decision of which alternative to implement can be crucial to the applying companys succes. During this decision-making both customer- and company perspectives need to be taken into account. This contribution is to present a simulation-based approach to support the decision making by using a model-based configuration system. Furthermore, as classical decision-making processes are based upon historical data, future aspects are usually not taken into account. In order to counteract this situation, this contribution intends to simulate as well future aspects impacting the modular product architecture. In this case, the simulation is used in order to evaluate the individual performances of a Design-for-Variety product architecture as opposed to a Design-for-Future-Robustness by applying this method to the example of customer-individual laser machines.Publicationtype: Conference PaperScopus© Citations 4 77 100 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , A simulation-based decision support method for modular product architecture alternatives(2020-10); ; With a constantly increasing market competition leading to high degrees of product individualization and customization, developing product architectures, which still offer competitive advantages is crucial to success. For the concept of modularization supplying one solution to this issue, there are many modularization approaches available. As these all lead to different modular product architecture alternatives when being applied, the decision of which alternative to finally implement becomes increasingly difficult with more and more complex product architectures. With this contribution, we propose a simulation-based approach using model-based systems engineering as a consistent root data system for product configuration systems in order to address both customer-and company perspectives for analysing the architecture alternatives' performances. Considering the multidimensional environment, a hyperspace algorithm for expressing individual architectures as geometric representations is used. Applying the simulation method to a medical stent as exemplary product, the implementation, results and capabilities of such a simulation is displayed.Publicationtype: Conference Paper62