Remanufacturing is a systematic process to recover a product to like new condition with matching warranty. It has Environmental benefits as well as significant potential to influence product economy in reverse logistic. Remanufacturing begins with identification and inspection of cores (scrap products) further disassembly, reconditioning, assembly and testing. Inspections of cores are the critical activity which leads to the effectiveness of the remanufacturing. The aim of this paper is to use fuzzy TOPSIS optimization for selection of scrap pistons for remanufacturing. TOPSIS is based on the principle that the chosen alternative should have the shortest distance from the positive ideal solution and the longest distance from the negative ideal solution. Parameters considered for the selection are length, diameter, surface roughness, Ovality, groove thickness, height and total deformation. Five pistons with different failure conditions are taken into consideration for study also compared with a new piston. Results show that above-mentioned parameters are giving a significant contribution in the process of remanufacturing which improves the efficiency of a process.