Development of a design optimization framework to deal with current challenges of engineering to order products
This thesis presents a methodological approach to supporting the multi-objective optimization of engineered-to-order products. The goal is to support engineers in designing economic products while meeting performance requirements. The method is based on three optimization levels. The first is used in the preliminary design phase when a company receives a request for proposal. Here, little information on the order is available, and time available to formulate an offer is limited. Thus, parametric cost models and simplified geometries are used in the optimization loop performed by genetic algorithms. The second phase (the embodiment design phase) starts when an offer becomes an order based on the results of the first stage.