A multi-objective flexible manufacturing system design optimization using a hybrid response surface methodology

Abstract The present study proposes a hybrid framework combining multiple methods to determine the optimal values of design variables in flexible manufacturing system (FMS). uses multi-objective response surface methodology (RSM) achieve optimum performance. performance an FMS is characterized using various weighted measures best–worst method (BWM). Subsequently, RSM approximates functional relationship between and variables. central composite (CCD) used for this aim, polynomial regression model fitted among factors. Eventually, bi-objective model, including cost functions, formulated solved. As result, percentage deploying equipment machines with lowest deployment determined. proposed can serve as guideline organizations lead strategic decisions regarding problems FMSs. It significantly increases productivity system, reduces redundant labor material handling costs, facilitates production.