Selection of E-Waste Mitigation Strategies using Weighted Aggregated Sum Product Assessment (WASPAS) method

Abstract

The problem of e-waste is the original equipment of environmental agencies, government, developing countries like India Eco-friendly for manufacturers and to develop e-waste mitigation strategies Innovate and e-waste push the threat Manage and control. E-waste or E-waste includes obsolete, unwanted or broken electrical and electronic equipment. That means everything from smart phones to end-of-life refrigerators. Basically, anything that runs on electricity that you decide to remove. When e-waste is exposed to heat, A toxin in the air that damages the atmosphere Chemicals are released; By electronic waste It causes one of the biggest environmental impacts. That Toxins seep into groundwater and affect land and marine life. Electronic waste is also air contribute to pollution. When an electronic item is disposed of after its useful life When e-waste is exposed to heat, are formed. Rapid expansion Technology and consumer driven society generates enormous amounts of e-waste. Like Extended Producer Responsibility (EPR) attempts; Designing for the environment, reducing, Reuse, recycle (3Rs), a circular economy A technology platform that connects markets to facilitate; increased With reuse and recycling rates, consumers They aim to promote Proper disposal of e-waste. E-waste recycling is essential but A safe and standardized one manner. For hazardous, secondary e-waste products the limits of acceptable risk grew and developed Countries should not be different. The WASPAS method is a weighted sum model (WSM) and the weighted product is Benefits Modeling (WPM) Integrates uses. WSM and integration WPM is WASPAS an alternative Increases ranking accuracy. Over time, the WASPAS has an optimal mixing parameter, which is then will be described Alternative: Extended producer responsibility (EPR), commercial Process Management, Customer Relationship Management and sustainable supply chain. Evaluation Option: No effect (N), very low effect (VL), low effect (L), medium effect (M), high effect (H). from the result it is seen that High effect (H) and is got the first rank whereas is the Low effect (L) got is having the lowest rank. The value of the dataset for E-Waste Mitigation Strategies in WASPAS method shows that it results in High effect (H) and top ranking.