An evolutionary system for the optimized design of multistage forming processes of aluminium cups

Manufacturing industries have to be very competitive in today\´s market in order to survive, where constant improvement of the costs and innovation of the manufacturing processes have become a priority on a daily basis. Therefore, all those endeavors aimed at improving processes, while optimizing costs in both materials and manufacturing processes will be very helpful in obtaining the required profitability. The current corporate vision of the "Factory of the Future" requires investment in new technologies and automated machinery for introducing new products more quickly in the market in a cost effective way. Increasingly, automated systems demand that bonds are created between design and manufacturing, and intelligent expert systems are employed to manage the process from the beginning of their design, and to monitor automated systems that integrate all design and manufacturing activities carried out by the company. This paper presents an evolutionary software development where the software is developed in a series of incremental versions to create an Evolutionary System, which is different from the general Evolutionary System understanding used in Soft-computing, for optimizing the multistage forming process of aluminum cups design. The case study conducted in this paper shows that the proposed technique for optimization is capable of achieving an improvement of 12.60% in costs and 13.24% in total processing time.