A Multicriteria Decision Aid Approach on Navel Selection Problem for Rotor Spinning

In studies about optimization of rotor spinning machine parameters, generally classical statistical methods have been used; the priorities and preferences of the yarn producer about yarn properties to get the desired end product characteristics have not been taken into consideration. However, machine part selection from possible alternatives with different properties and performance levels about yarn quality is a difficult task and inherently a multicriteria decision-making problem. In this study, it is proved that application of a multicriteria decision aid method, ELECTRE III, can provide valuable assistance in reaching acceptable solutions in order to select the appropriate navel for Ne 12 rotor yarn spun to weave denim fabric. In experimental part of the study, Ne 12 rotor yarns were spun by using ten navels having different technical properties and their quality parameters were analysed with ELECTRE III.