The importance of new technologies is drastically increasing in industry, research and politics because of their ecological and economic advantages. There is plenty of room for manoeuvre in the production of new products, as a large number of raw materials, many production processes and also unlimited process combinations are available. Based on this background, the aim of this work is to develop a concept where LCA and LCC methods are merging with methods of multi-criteria decision making. The approach should therefore be able to investigate the influence of different preference settings on the result and thus the plausibility and robustness of a decision in a simple and quick manner. The approach was built in five phases, with experts and decision-makers working together and evaluating the alternatives based on their respective responsibilities. The results are then critically discussed and interpreted by all those involved. The AHP method was identified as a suitable approach for the MCDA evaluation and serves as basis for the decision tool. The developed approach was used in the case studies of production of ethanol, lactic acid and succinic acid in Hesse. After a few steps, plausible and robust results were already witnessed which illustrates and confirms the particular benefit of the developed method. The results of the assessment strongly depend on the decision-makers and their assessments. An investment decision is always perceived as a major challenge because, regardless of the MCDA approach developed here, a high level of uncertainties in data bases, environmental indicators, logistics, market prices, production costs and many other parameters is permanently present. Due to the modular structure and the associated transparent communication of the results, the approach can contribute to a better understanding of these uncertainties and their influence on the robustness and plausibility of the decision. The plausibility is also seen in the possibility of using limited resources to consider future changes in the social, political and personal attitudes of decision-makers. In this work, it was shown that the combination of LCA, LCC and a multi-criteria decision analysis can support the assessment of the economic and ecological advantages of a new technology in a simple and fast way. The further development of the approach is necessary to minimize the uncertainties, to consider the interaction between the criteria and, for example, to update the data using an automatic interface.