Optimization of Generated Waste Plastic Fuel through Mathematical Approach

Abstract

An estimated 19–23 million tonnes of plastic garbage are dumped annually into lakes, rivers, and oceans, where it contaminates aquatic ecosystems. This pollution disrupts habitats and fundamental ecological processes, diminishing ecosystems' resilience to climate change and negatively impacting the livelihoods, food security, and the general health of millions of people globally. We suggest a fuzzy approach to the Taguchi method in this work. The control parameters are converted into triangular intuitionistic fuzzy numbers to manage imprecise data, and a ranking technique is applied to organize it effectively. Next, we apply the Taguchi approach to examine the factors affecting the production of plastic waste fuel. The orthogonal array L9 is constructed in order to determine the optimal conditions for the parameters. The ANOVA table, which reveals the key factors impacting production, is then constructed by evaluating the S/N ratio.