dc.description.abstract | Healthcare waste (HCW) is a unique type of waste produced during the delivery of
healthcare services, potentially containing infectious or harmful substances. Managing this
waste involves its transportation from healthcare facilities to treatment centers, which
poses risks to both humans and the environment if not handled carefully. To ensure the
safe management of HCW, this article proposes a fresh approach to its transportation. This
approach involves segregating hazardous and non-hazardous waste during transit. The
proposed model is based on the Multi-compartment Vehicle Routing Problem, where each
type of waste is allocated to dedicated compartments with the objective of minimizing
overall transportation costs. An adaptive Genetic Algorithm is utilized. The approach
involves creating multiple real-world examples of varying sizes to address the issue,
which is then resolved using the Python. Following this, various scenarios are contrasted,
and the practical consequences are analyzed through sensitivity analysis on demand
parameters. | en_US |