In order to reduce the energy consumption and completion time of flexible stamping workshop, a multi-objective optimization strategy of production scheduling was proposed based on improved genetic algorithm. Then, the production scheduling problem of flexible stamping workshop was introduced, and the optimization model with the goal of minimizing workshop energy consumption and completion time was built. Furthermore, for the specificity of the scheduling problem in flexible stamping workshop, the chromosome of the genetic algorithm was divided into procedure gene chain and equipment gene chain, and the chromosome pairs coding method was put forward. At the same time, an improved POX crossover operator and a directional mutation operator were introduced to the algorithm, which was conductive to balancing production load of machines and improving diversity of chromosomes. Finally, three optimization schemes with different emphasis were designed, and the optimization results were consistent with the settings of the optimization center to demonstrate the feasibility and effectiveness of the optimization method and provide several selectable production schemes for manufacturer.