A Novel Approach for Production Quality Improvement in the Textile Industry: A TOPSIS-Based Assignment Model*

This paper proposes a novel approach for the improvement of production quality in knitting workshops in the textile industry. The method is based on two steps. The first step consists of analyzing the performance of each operator to detect the different types of quality defects on the different machines of the workshop. The second step consists of optimizing the assignment of the operators to the different machines taking into account their performance in order to maximize the detection rate of the quality defects. The evaluation of the operator's performance is carried out using a multi-criteria analysis method called TOPSIS: Technique for Order by Similarity to the Ideal Solution. This performance indicator serves as a crucial input for the second proposed method, which is an optimized model for assigning operators in the workshop taking into account different constraints. The proposed approach is tested based on a real industrial configuration and the obtained results show its effectiveness.