Frequent product changeovers in the modern market require an efficient operating condition setup method for producing new products in the process industry.A novel product design strategy was developed based on the combination of design of experiment (DOE) and inversion of partial least square (PLS) model.The response surface methodology (RSM)，a widely-used optimization method in DOE，was improved to vary the searching step-size with the accumulation of newly available experimental data.Then，the combination method of RSM and the inversion of PLS model was proposed to ensure both extrapolation and interpolation performance of the operating condition setup model.The proposed product design strategy could specify the desirable operating condition quickly and accurately with fewer new experiments in the design process.The strategy was illustrated by a numerical example and a real chemical process.Simulation results could verify its feasibility and effectiveness.