This research is focused on the integration problem of process planning and scheduling in steel heat treatment operations environment using artificial intelligent techniques that are capable to deal with such problems rather than on theoretical developments which are as yet to be applied.
This work addresses the issues involved in developing a suitable methodology for scheduling heat treatment operations of steel. Therefore, several intelligent algorithms are developed for this proposal namely, GA, SGA, GACD, AGA, and MGA. These algorithms have been employed to develop efficient intelligent algorithm using Algorithm Portfolio methodology. After that all algorithms have been tested on two types of scheduling benchmarks.
Using the algorithms, furnace model and heat treatment system model, the intelligent system model is developed and implemented successfully. The results of this system were exciting and the system was working correctly.