A Framework for Component Selection Based on Multi-attribute Evaluations

摘要

In complex products, the selection of a component is often not done in isolation, but as a part of the decision of selecting the right combination of components for the product. Thus, the criteria for selection include performance requirements and other attributes of the complete product system as well. In this paper, a framework is presented wherein a single master model is used to capture the information about all combinatorial design options and parameters for individual component choices. The requirements for the product, attributes of interest, as well as context related assumptions or constraints are also captured in the master model. The Systems Modeling Language (SysML) is used to define this master model. An example case study of component selection and trade-off analysis to determine the optimal selection of a wiper system is presented to demonstrate the use of the suggested framework.