| dc.description.abstract | Municipal solid waste (MSW) presents a pressing concern, adversely impacting
community health and contributing to environmental degradation through inadequate
waste management practices. The growing population has facilitated greater access to
healthcare services, thereby amplifying this issue, particularly considering that a
significant portion of medical waste comprises infectious materials. Addressing this
challenge necessitates careful consideration of optimal collection point placement and
sustainable vehicle routing.
This study aims to develop an efficient medical waste management strategy, employing
a novel MILP approach with multiple objectives. The model accounts for various waste
streams, including non-infectious and infectious medical waste, while factoring in
population risk levels. To address this complex model, a fuzzy goal programming
method is employed to simultaneously minimize total costs and mitigate population
exposure to pollution. The efficacy of the model is assessed through empirical research
utilizing waste production data from thirty hospital nodes in Ho Chi Minh City.
Furthermore, this research utilizes metaheuristic algorithms to tackle large-scale
problems and compares the outcomes of employing these methods against the fuzzy
goal programming approach in terms of accuracy and practicality, provides valuable
insights into the differences between these methodologies. | en_US |
