Friction stir welding (FSW) has become a popular manufacturing process used in joining of two dissimilar materials without melting the workpiece material. To operate the machine with its fullest manufacturing potential and to achieve the required target response values, it is necessary to operate the machine with its optimal parametric combination of various input parameters. However, it has been observed that the number of optimization methods used to find the optimal parametric combination of FSW process are only limited to a few. In this paper, a few unexplored multi-criteria decision-making methods like evaluation based on distance from average solution (EDAS) and weighted aggregated sum product assessment (WASPAS) methods are adopted to search out the best parametric combination for a FSW process for joining of two dissimilar AA6063-T6 and AA5083-O aluminium alloys. The identified optimal parametric setting is verified based on confirmation experimental trials which show a considerable improvement in the response values like tensile strength, grain size, and material hardness.

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