A co-precipitation procedure was employed for the preparation of supported Fe-Co-Mn oxide nanocatalysts. The prepared samples were evaluated for the hydrogenation of carbon monoxide to produce light olefins. After determining the optimum reductant agent type the influence of the other pretreatment factors including both reduction temperature and time, and the optimum flow of reductant agent was studied using response surface methodology (RSM). The modeling process for the selected responses was performed followed by the optimization of reduction parameters was also carried out using the RSM method and historical data design type of DOE. It was found that the pretreatment conditions greatly affect the catalytic performance. The optimization results show that H 2 reductant agent with the reduction temperature of 399 C, reduction time of 12 hours, and H 2 reductant agent flow of 37.52 mL/min are the best pretreatment conditions for achieving the highest catalyst activity and selectivity toward light olefins and lower selectivity toward methane concurrently. The structural properties of prepared specimens were characterized by XRD, TEM, XPS, TGA, DSC, SEM, EDS, and BET. The characterization results reveal that the structural characteristics of the samples were changed under various pretreatment conditions.