Simultaneous optimization of multiple responses in abrasive waterjet cutting process

Abstract

Decision-making process involving simultaneous optimization of multiple response problems is a challenging task ahead of mathematicians and engineers. Earlier engineering judgments based on practical knowledge were used in decision making associated with multi-response problems in manufacturing industries. But, most prior applications of the Taguchi methodonly stress on single response problems, while the multi-response problems have been concentrated fewer relatively. Since multiple quality characteristics of a product/process are usually considered for roduct/process qualit y by a consumer, many research is being focused on the multi-response optimization which brings the robustness in product quality during the design stage of product. Many methodologies have been developed to solve multi-response problems simultaneously, which involve more intricate mathematical computational efforts and consuming more time. Hence, the motive of this research is to develop a new and simple technique (Quick-Fix Approach- QFA) which should have the capability to handle the multi-response problems effectively. In this research, four different methodologies such as Grey-based Response Surface Methodology (g-RSM), Taguchi-based Simulated Annealing Algorithm (TSA), Principal Component-based TOPSIS and Quick- Fix Approach (QFA) are proposed and usefulness of the proposed methodologies are validated in the Abrasive Water Jet Cutting (AWJC) newlineprocess which requires simultaneous optimization of multiple responses. newline newline