OPTIMIZATION OF MANUFACTURING PROCESS USING GENETIC ALGORITHM BY OPTIMAL MACHINE COMBINATION: MATLAB SIMULATION & RESULTS

Quality production in quantity of sophisticated product requires huge investment. The manufacturing process must be cost effective up to the optimal threshold to sustain the product in international market. These conditions can only be achieved by optimizing the manufacturing process. The focus of the presented research paper is to determine the optimal combination of the machines to avoid buffering and bottleneck condition in the manufacturing process. The individual parameters of machine participating in manufacturing process at cluster level are incorporated in mathematical model to obtain a resultant objective function of complete manufacturing process. Genetic algorithm is implemented on resultant objective function to decide optimal set of machine combination. Simulation is carried in Matlab Software. Simulations results are compared with existing combination and found that overall efficiency and performance has been improved up to remarkable extend.