Dynamic construction of virtual manufacturing cell considering workload balancing and machine failure

Machine is the key element in manufacturing system. failure will lead to order delivery delay and production cost rise. Aiming at random disturbance of equipment failure, a dynamic non-linear programming model virtual cell (VMC) established, which aims minimize cost, logistics transportation differences workload among cells, based on comprehensive consideration reliability, process route constraints, variable processing path workload. Due high complexity problem, hybrid particle swarm optimization algorithm used solve model, rationality effectiveness method are verified by numerical example. Experimental results show that this has advantages reducing reconfiguration, improving utilization shortening completion time.