FAILURE MODES AND EFFECTS ANALYSIS USING FUZZY TOPSIS IN KNITTING PROCESS

Abstract

It is significant to identify and eliminate or minimize faults in order to provide customer satisfaction. Failure Mode and Effects Analysis (FMEA) is recognized as an operative tool for the quality improvement. This study carried out FMEA in knitting process using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The fuzzy approach was integrated into the TOPSIS because of its ability to deal with the imprecision and vagueness in real world problems. In this manner, classifying failures into priority classes by experts using linguistic variables allows managers to be focused on the most critical ones with more robust priority ranking. According to the obtained results in this study, it was determined roller shooting mistake, oil stain, measurement inequality, touching error, number of hole, pattern error and yarn breakage are the most critical faults. These failure modes are usually caused by the fact that the adjustments of the knitting machine are not set properly. In order to troubleshoot these errors; it is significant to increase the number and quality of trainings in the factory, ensure their continuity and carry out regular machine maintenance.