FMS design model with multiple objectives using compromise programming

There has been a great change in manufacturing systems toward computer-cont rolled flexible manufacturing systems (FMS). The design and operation of th e FMS involve intricate and interconnected decisions that result in the max imum performance of the system. However, the design and operational decisio ns have been made separately in consideration of a single-system performanc e measure. This paper presents a method for simultaneously determining desi gn and control parameters of an FMS with the multiple performance objective s via full-factorial design of experiments, regression analysis and comprom ise programming. For a numerical example, the SIMAN simulator models a hypo thetical FMS with six workstations. Eight design and control parameters are simultaneously determined by compromising four performance measures that a re formulated using regression analysis.