Abstract: Quayside container crane is one kind of large scale heavy product. Good assembly plan will minimize the cost of manufacturer and to ensure the safety of assembly operation in container terminal. In this study, we have extensively investigated a novel approach to automatically generate the assembly sequences for industrial field which is especially applied to other large-scale structures. The approach is proposed to find the optimum assembly sequence which will integrate the genetic operators into the immune algorithm. The approach will take advantages of the immune memory for local optimum search and improve the global search ability of immune algorithm by the genetic operators. An example of one type of container quay crane illustrates the use of the physically based approach to generate assembly sequence which shows the efficiency and the operability to guide the assembly work.