Sustainable Waste Disposal Technology Selection using the WSM Method

The choice of a sustainable waste disposal option is essential due to the expanding problems with global waste management. In view of rising population and consumption patterns, it is imperative to create environmentally friendly solutions that lessen the detrimental consequences of rubbish on ecosystems and human health. The selection process considers a variety of factors, including waste volume, composition, regional regulations, infrastructure accessibility, and environmental considerations. We may promote waste reduction, resource conservation, and climate change mitigation practices such as composting, recycling, and waste-to-energy conversion by using the appropriate technologies. Effective waste management practices contribute to the development of a circular economy, which not only protects the environment but also views trash as a resource. The decision to choose a sustainable waste disposal method has implications for research since it can solve substantial environmental and social problems associated with waste management. In conclusion, what makes sustainable waste disposal technology selection important for study is its ability to address environmental problems, save resources, slow down climate change, improve public health, guide policy development, and promote economic growth. It provides a path to the development of a circular economy, where garbage is viewed as a valuable resource and waste management practices become more reliable and sustainable over time. In this Research we will be using Weighted sum method, Landfilling, Incineration, Pyrolysis, Plasma, Gasification investment cost, operation cost, energy recovery, technology accessibility, emission, social acceptance Showing sustainable waste disposal technology selection using the analysis method in TOPSIS, where Plasma is the first rank and Landfilling is the last rank. The majority of MDO issues are multi-objective, hence the focus of this study is on creating an efficient multi-objective MDO approach. For the design of massive, intricate technical systems like aero planes, the AWSCSSO approach may be used to produce a regularly spaced, broadly dispersed, and smooth Pareto front. The AWSCSSO approach is validated using two numerical examples and a conceptual design challenge for an aero plane. Following are a few conclusions that may be drawn. First, AWSCSSO is useful and effective for resolving multi-objective MDO issues. It covers the whole Pareto front for test difficulties and conceptual design issues with aero planes. Second, for multi-objective MDO issues, AWSCSSO is a potential method for building a smooth, evenly distributed, and regularly spaced Pareto front. Given that getting uniform, ubiquitous Future work will concentrate on enhancing the quality of the solutions as well as testing it with more practical engineering design challenges employing distributed Pareto points in a bilevel optimization framework.