The purpose of this chapter is to establish a strong correlation between two corresponding sections as waste management and sustainability. A multi-objective waste management (MOWM) plan from ground level can find zero waste by applying 4R (reduce, recycle, reuse, and refuse) principle. From collection center(s) to treatment plant(s), the waste items are fluctuated by the generators’ activity and the management capability of treatment plants. These fluctuations outcome with an uncertainty which is tackled here by selecting Fermatean fuzzy environment on source and demand parameters. Time, distance, and risk factor are sensitive issues for waste management. To curb these issues we analyze several sustainable factors in the proposed model such as circular economy, carbon emission with CAP policy, and time management with time window restriction. The Pareto-optimal solutions of the MOWM problem are attained by applying fuzzy programming, Fermatean fuzzy programming, and global criterion method. A comparison analysis is done at the end of result discussion. Final conclusions with pros and cons are depicted with future directions.