| dc.description.abstract | Developing an optimized waste management system is one of the acts to foster the circular
economy practice which highly related to the UN Sustainable Development Goal 12 (SDG 12)
emphasizes on sustainable consumption and production. A strategy is developed to optimize the
route selection for waste collection by maximizing the vehicle capacity and minimizing travel time.
Several studies have been done to solve routing problems. However, a detailed representation is
needed to capture the reality accurately. This study acquires the fuzziness of vehicle capacity in
the waste transportation management system and create proposed method of optimizing the routing
problem using mathematical modelling while involving fuzzy capacity, stochastic demand, and
stochastic travel time. The stochastic approach is used for the demand and travel time variable to
simulate the routing process. This study incorporates 10 waste collection locations and one depot.
Overall, the proposed mathematical model is effective to solve the routing problem using
simulation approach. | en_US |
