Exploration of MOORA Based Hybrid Taguchi Method for Multi-response Optimization—A Case Study

Abstract

This paper highlights the implementation of the Taguchi based Multi-Objective Optimization by Ratio Analysis (MOORA) to optimize the quality features of machine manufactured acrylic carpet samples. Tufting speed (N), stitch rate (SR), gauge size (G) variables have been considered as process parameters for optimizing carpet quality characteristics such as compression (mm), compression recovery (%) and tuft withdrawal force (kgf). Taguchi L9 orthogonal array has been used for preparing samples on Modra M tuft sampling machine. Lower the better criteria for compression and higher the better criteria for compression recovery (%) and tuft withdrawal force are desirable to achieve a better quality of carpets. Multiple responses are transformed into a single objective function that is ultimately optimized by Taguchi techniques. The aim is also to identify the significant factor and their effect on quality characteristics. The results obtained thereof have been compared with the predicted results, followed by a confirmatory test.