With the introduction of different environmental standards like ISO 14001, concerns of manufacturers in railway industry are more and more oriented to the design of green products. One important issue when designing such products is the control of the cost impact and the evaluation of the price which consumers agree to pay for a reduced environmental footprint.Eco-design of railway train presents several challenges for the designer. The first one is the complexity of the life cycle analysis of such components. The second challenge is the necessity of consideration of several environmental impacts in design stage given the number of impacts. Finally, railway components have different models with different granularity which can be used in the process of eco-design. To overcome these problems we propose in this work a method which involves two steps. The first one is to simplify the LCA of the railway train using environmental management software and take the opportunity to build a malleable model to calculate eleven impacts. The second step, is to aggregate these impacts for a single indicator which is considered later as environmental criterion in the eco-design process. In order to investigate optimization tools, the eco-design problem is expressed into an optimization problem. Optimization algorithms are able to solve this problem and to find the optimal set of compromises between environmental criterion and the cost of the railway product. The set of compromises is given as a graph called the Pareto front. In our work the cost is expressed by the mass of the component and some optimization algorithms have been adapted in this work to serve in the process of eco-design
