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 tardiness of jobs. A prototype of reallocation support system was developed to evaluate the effectiveness of the proposed method.
