Improving tribological performance of magnesium based composites in dry sliding condition is a crucial challenge. In this work, fabrication of magnesium composites has been done using squeeze casting techniques. Dry sliding wear behavior of magnesium composites were conducted on the Pin-on-Disc tribometer. Taguchi optimization technique was used to design the tribological experiments, while the grey relational analysis was used to predict the optimal tribological process parameters using multiple responses.From the results obtained, a 62.77% improvement in the predicted result of the tribological process parameter was observed when compared with middle ranked grey relational grade on the L27 orthogonal array. © 2017 Elsevier Ltd. All rights reserved.