Industrial Symbiosis as a Strategy for Efficient Hazardous Waste Management: An Optimization Approach

Abstract

By contaminating soil, air, and water resources, hazardous waste has a detrimental effect on the environment, disrupting ecosystems and reducing biodiversity. An analytical framework to improve the industrial symbiosis in waste management is identified in this study. Resource efficiency is assessed by reallocating landfill waste into recycling and improving utilization streams through the development of a district-level data-driven hazardous waste optimization approach. A genetic algorithm (GA) was incorporated into a mathematical model to estimate the best landfill diversion strategy for each district in order to optimize the system. The model allows for dynamic waste redistribution while taking into account current recycling and utilization capacities by combining waste flow concepts with heuristic optimization. With a best objective value of 31.9989, the results of this suggested approach show an overall improvement in system efficiency. This district-level analysis shows how, initially, the less efficient regions improved more after optimization, while the more efficient regions maintained their peak performance. Policymakers and planners can create region-specific industrial symbiosis strategies. This study advances sustainable waste management techniques and facilitates the shift to circular economy systems by fusing evolutionary optimization.