Hybrid Decision Model for Operational Flow Scheduling

The global competition imposes minimizing the time-to-market and cost parameters, simultaneously increasing products quality and response to the customer demands. Information sharing, concurrent engineering and virtual enterprising prove to be stringent necessities in order to optimally achieve a better product design in an appropriate time. Automatically choosing the best products (accepting the most profitable commands), using genetic algorithms in order to minimize the idle time in optimizing production flow are useful to be employed in the struggle to be amongst the first, in delivering a competitive product on the market. Hybrid multi-criteria inference in scheduling operations priorities is a necessary tool in decision support systems.