Haynes 282, a high-temperature creep-resistant Ni-based superalloy is used in applications like gas turbines, hot sections of aircraft engines, and advanced supercritical boilers. Fusion-based additive manufacturing methods are employed for the manufacture and repair of these parts. Rapid solidification rates experienced during these processes create non-equilibrium conditions leading to segregation of the elements along the dendritic/cellular solidified regions. The aim of this study is to predict the micro-segregation during fusion-based additive manufacturing, specifically laser powder bed fusion, of Haynes 282, to enable the optimization of process parameters. First, the temperature evolution during the process is simulated using a finite element model. The temperature gradient and cooling rates obtained are then used as input to Yao et al. (Metall. Mater. Trans. A 53:2383-2401, 2022) model for predicting micro-segregation. This model considers velocity-dependent partitioning, constitutional supercooling, and back diffusion in the solid phase. The results are compared with the Scheil–Gulliver analytical model (with and without solute trapping). All simulation results are then compared with experimental data available in the literature quantitatively, using the full composition profile across the segregated regions. Yao et al. model is found to be suitable for predicting micro-segregation in Haynes 282 as it provides the best predictions while considering the full composition profiles.