Srinivas C
The paper presents a model of designing of machine layout in flexible manufacturing system (FMS). Evolutionary computation, particularly genetic algorithms (GAs) proved to be successful in search of optimal solution for this type of problems. To achieve high productivity in a flexible manufacturing system (FMS), an efficient layout arrangement and material flow path design are important due to the large percentage of product cost that is related to material handling. In this connection, the required number of rows and the sequence of machines in the individual row are established by means of GA. In the end the test results of the application made and the analysis are discussed.
Flexible Manufacturing System, GA, Design, Optimisation.