The study on reconfigurable algorithm of the wood flexible manufacturing system based on OOTCPN-GASA

This paper put forward a optimal scheduling method of the wood flexible manufacturing system based on OOTCPN and GASA. The algorithm can adjust the manufacturing units rapidly according to the change of the production order, and reconstruct the production line aiming at optimizing the multi-objective function (the shortest manufacturing cycle and the reconfigurable fee). The triggered sequence set of the OOTCPN model is used as chromosome code, the choice, crossover and mutation are operated in view of the elements of the OOTCPN model. It is found by simulation that the hybrid genetic algorithm based on OOTCPN-GASA can shorten the manufacturing cycle while decreasing the reconfigurable fee, improve the production efficiency, and is beneficial to the scheduling of the current production lines.