Optimization Of Waste Management System Using Capacitated Vehicle Routing Problem With Fuzzy Capacity And Stochastic Travel Time

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.