A Fuzzy Logic Approach to Sustainable Plastic Waste Management in the Automotive Industry
摘要
Plastic waste recycling from vehicles is an important aspect of responsible environmental management. It investigates novel methodologies for recycling plastic waste from the automotive industry, including out-of-service vehicle parts and manufacturing waste. Mechanical and chemical recycling processes convert plastic waste into high-quality secondary raw materials, which can be used in various industrial processes. Improving material recovery through the recycling process reduces environmental impact while promoting the circular economy by reusing recovered plastics in new automobile products. This research investigates sustainable manufacturing techniques in the automotive plastics industry by improving recycling as well as refurbishment practices, which helps to reduce environmental impact and promote resource efficiency. During manufacturing, scrap - excess burn-in pieces, scrap from grinding, refining, and trimming - is generated. The circular economy concept recycles all of the collected plastic waste and uses it as a raw material for manufacturing. Moreover, it explores remanufacturing sustainable production modes, including a carbon tax and screening cost, to reduce carbon emissions to get a system’s optimum total profit. Fuzzy numbers are often used to describe this uncertainty where inventory features and goals are not specified. Cost parameters are described using an intuitionistic fuzzy number. Because of these Fuzzy Parameters, The model itself is fuzzy then it is converted into a definite value using the Graded Mean Integration method (GMI).