Abstract: In order to improve the production efficiency and resource utilization of flexible workshops, the integrated optimization problem of workshop layout and job scheduling was mainly studied. Firstly, a workshop layout and job scheduling integrated optimization model is proposed with the optimization objectives of minimizing workshop carbon emissions, total completion time, and handling costs. Secondly, an improved multi-objective beluga whale optimization (IBWO) algorithm is proposed to solve the model. The algorithm introduces a cross mutation strategy, improves the Circle chaotic mapping, integrates dynamic adjustment of Levy flight and spiral search methods, and uses a golden sine strategy to update the population. Finally, through experimental simulation analysis and comparison between different algorithms, the Pareto solution set is obtained. The simulation results show that the proposed integrated optimization model has better robustness and validates the effectiveness of the improved multi-objective white whale optimization algorithm in solving the integrated optimization problem of workshop layout and scheduling.