German industry has a leading position within global competition. The reason is the progressing development of information and communication technology which is the basis for over 80% of innovations. This progress enables intelligent technical systems with reduced costs and higher benefits and economic efficiency. 60% of the costs and benefits of a system are defined within the conceptual design. In this phase, developers often lack the understanding of the origin of costs and the customers needs. Thus, innovations often fail in the market, because they either do not provide enough benefit for the customer or are too costly.The aim of this thesis is a systematic approach for the economic-efficiency-oriented conceptual design of intelligent technical systems. It includes a model of the economic efficiency, coherently representing the interconnections of costs, benefits and economic efficiency. The approach supports the development of a technical solution that exploits benefits in a customer-oriented way within predefined target costs. The early analysis and evaluation of the economic efficiency is supported by methods, taking into account the characteristics of intelligent technical systems. Furthermore, a basis for the selection of the best solution is provided.