Abstract: Different products can be derived from the product platform based on modular parts according to customer demands. A module partition method was proposed on the basis of environmental resource factors. According to green idea throughout the entire lifetime of product process, a new integrated information model was presented to quantify environmental impacts of products. Furthermore, green polymerization objective function and aggregation degree objective function were established by introducing environmental source factors and product components' incidence matrix respectively. A novel immune clonal multi-objective optimization algorithm for module partition was then put forward. It was accomplished by screening non-dominated antibodies satisfying environmental resource attributes through gene crossover and mutation. As a result, the multi-objective problem was solved, and product platform was built. It satisfied customer demands and improved product's environment-friendly characteristics. A case study of coal mining machine illustrated the implementation process and feasibility of the method. It was verified by algorithms analysis and comparison, and product's green influence degree was evaluated finally.