The rapid growth of inadequate waste management infrastructure has led to the explosions of open dumps, posing significant environmental, health, and operational challenges. This study presented a comprehensive approach to transforming an open dump in Khulna city into a sanitary landfill through an optimized landfill operational model. Initially, a field survey and data collection were conducted to assess current open-dump conditions, including waste composition, volume, and associated risks such as leachate seepage and gas emissions. A questionnaire survey was administered to gather insights from residents and waste management personnel regarding health, environmental, and operational issues in the existing system. Building on these findings, a mathematical optimization model in LINGO was developed to improve landfill operations by minimizing operational costs while maximizing landfill lifespan. The model integrates constraints for landfill capacity, budgetary limits, cover material usage, and environmental safety measures. Scenario-based simulations were conducted to identify optimal operational strategies under varying waste inflow rates and seasonal variations. LINGO efficiently solves large-scale linear problems and mixed-integer models, and provides interpretable results only with tables; there are no advanced graphs. Results suggest insights for immediate and long-term conversion, including leachate and gas management infrastructure, segregation, recycling, and composting. This study provides a solid foundation for landfill optimization that balances between environmental sustainability and operational efficiency.