OPTIMIZATION OF COMPLEX INTEGRATED PRODUCTION LINE USING GA-PSO TECHNIQUE AT CLUSTER LEVEL: MODELING & SIMULATION

Rapidly changing product specification creates uncertainty in manufacturing process. A production line integrates numbers of complex, sophisticated and real time multiple cluster level events, which result in time sensitive and complicated overall manufacturing process. Cost and quality of product is function of the optimal utilization of machine, manpower, tools and space. It is extremely crucial for sustainable facility planning to incorporate multidimensional integrals in optimization process; so as to suggest new facility plan which address all the implication to meet global competition. State-of-the-art tools are not able to sufficiently consider interactions between the discrete system behaviors of material flow with continuous changing product specification. In the presented research paper, a systematic and compatible effort had been suggested, to redesign; the existing plan so as to utilize available resources at maximum level. A novel multi-dimensional, multi-criterion, multi-objective tool is suggested; which is hybrid optimization of PSO and GA. Real time system is fabricated mathematically and proposed hybrid technique is implemented & simulated in Matlab. Results are significantly inspiring.