Multi-objective optimization of manufacturing processes design

Multi-objective optimization applications in manufacturing have been mostly in the area of scheduling and process planning. Until now, most well developed multi-objective optimization codes are linear. Due to the high level of nonlinearity, few applications have been reported in the area of multi-objective optimization of manufacturing processes design. In this research work a general nonlinear multi-objective optimization model for manufacturing processes design is developed. The developed nonlinear multi-objective optimization model, using nonlinear goal programming, allows different priority levels for each manufacturing objective. The resulting nonlinear optimization problem can be solved using unconstrained optimization techniques. This reduces the effort required to model the manufacturing process problem since linearization is not required. The optimum solution can also be achieved from any starting point, since no feasibility conditions are required. The application and efficiency of the developed model is studied using metal forming and cutting case studies with different manufacturing priorities.