Abstract
Manufacturing systems are required to change the manufacturing performance, such as manufacturing volume and cycle time, since consumer's needs change continuously. A new flexible manufacturing system called cellular manufacturing systems was proposed in order to satisfy this requirement. Cellular manufacturing systems need a suitable control method to change the manufacturing performance in case of unforeseen changes, such as delays of manufacturing processes. This research proposes a dynamic reallocation method of workers in cellular manufacturing systems by using Genetic Algorithm. This method provides new allocations of workers dynamically in order to minimize the maximum tardiness of jobs in consideration of learning of workers. A prototype of reallocation support system was developed to evaluate the effectiveness of the proposed method.
