| dc.description.abstract | This study intends for examining the optimization of Vehicle Routing Problem (VRP) of
medical waste collection (MWC) in Ho Chi Minh City (HCMC) by utilizing approaches
form the field of Constraint Programming (CP). The management of medical waste
presents a number of important issues attributable to the dangerous substance of the waste
and the requirement to strictly adhering to the criteria set forward by regulatory agencies.
The main goal of this work is to establish a routing model for collection vehicles (CVs)
that minimizes the overall distance travelled, taking into account several limitations like as
vehicle capacity, stochastic demands. To address uncertainty in waste generation rates, a
methodology involves formulating a CP-based mathematical model integrated with
chance-constrained programming. The model is validated using data gathered from several
medical facilities in HCMC.
Computational analysis experiments how that the suggested approach is effective in
optimizing routes, lowering operational costs, and increasing the efficiency of MWC. The
study’s finding has significant consequences for enhancing waste management systems,
thereby, being beneficial to environmental sustainability and public health safety. This
study establishes a solid foundation for making decisions in MWC, as well as practical
alternatives to urban waste management concerns. | en_US |
