Efficient welding flux design is crucial for achieving optimal weld-metal quality and operational efficiency. This often involves balancing conflicting criteria. While many multicriteria optimization methods are commonly employed in welding flux performance optimization, the Weighted-sum Scalarization (WSS) method remains underexplored. This study applied and compared WSS and Compromise Programming (CP) for submerged arc welding flux design, aiming to minimize oxygen content   and maximize silicon transfer  . Criteria values obtained for ,  when criteria were equally weighted, were (282.67, 0.1735) for WSS, (284.43, 0.1740) for Manhattan norm and (314.57 ppm, 0.1780 %) for both Euclidean and Chebyshev norms. Results revealed an efficient frontier with no solutions dominating any other, indicating that WSS provides solutions of comparable quality to that of CP. The WSS offers advantages in modelling simplicity and computational efficiency, while CP excels in deviation control and trade-off analysis. The choice of which method to use depends on the specific welding flux design context and the preferences of the welding flux formulator.