Optimization of parameters for needle cut index using TOPSIS method

Abstract

The influence of loop length, stitches per inch, and sewing needle type on needle cut index in 100% cotton single jersey fabric has been studied considering factorial design. Further optimization of factors using Design Expert Tool has been done followed by ranking the optimized solution through TOPSIS method along with the confirmatory test. The results show that sewing needle type has the highest contribution with 29.83% followed by the 23.08% for stitches per inch and 11.95% in the case of loop length as far as needle cut index in the course direction is concerned. In the wale direction, sewing needle type has the highest contribution with 50.45% followed by the 13.30% for loop length and 10.77% for stitches per inch. It has also been observed that SES needle type is generating more needle cut as compared to SUK and SAN type needles. It is confirmed that the error percentage has been the lowest for highest rank solutions and subsequently the error increases with decreasing rank in terms of closeness coefficient. The present study is expected to be helpful for garment industrialists in minimising the needle cut defect among knitted garments and improve the quality of producing seam.