EXPERIMENTATION AND TIME INVESTIGATION ANALYSIS OF HYBRID GROUPING TECHNIQUES AND METHODS IN A SHEET METAL AUTOMATION FLOW SHOP

The advanced technological only focused in ever green works environment energy and raiding and easy controlling machine tools and automation industries, were integrated machine in specially for Sheet metal automation vision system plays new issues on day by day the more precise and most predictable models to employs this techniques .In this specific Sheet metal automation industry machine operations has been developed and attempt to average [Ra] .In this turned components using a PSO algorithm [particle swarm optimization]based on the group scheduling . This research papers dynamically single user scheduling problem can be breakdown nature defined it. This experiential proposes an exponential index method with known breakdown time start to end the break down occurs because of power shutdown randomly finalized it This main objective of this makes times of ‘n' jobs and ‘m' machines was consist. This optimization of algorithms is exactly developed for the general time for this specialized linear case. The past scientific papers will have defined only nonlinear function only solved it were in this technique used only PSO algorithms are proposed it .in this algorithm effective performance can be evaluated and found to indicate the PSO algorithms more yield of products to achieve less time more optimum schedules in this cause.