A decision support framework for remanufacturing of highly variable products using a collective intelligence approach

We propose a new theoretical decision support system framework based on multiagent systems able to design new products from post-used components. This framework, based on the genericity of its input, is open and allows to design new products in real time from highly variable post-used components and a customer demand while negotiating with the user if the need cannot be fulfilled. Finally, the multiagent system approach implements a social analogy in order to allow agents to interact effectively with each other and to address the group formation problem.