Capacitated vehicle-routing problem model for scheduled solid waste collection and route optimization using PSO algorithm. (January 2018)

• Record Type: Journal Article
• Authors: Hannan, M.A.; Akhtar, Mahmuda; Begum, R.A.; Basri, H.; Hussain, A.; Scavino, Edgar
• Is Part Of: Waste management. Volume 71(2018)
• Page Start: 31
• Page End: 41
• Publication Date: 2018-01
• Subjects: Waste collection -- Route optimization -- PSO -- CVRP model -- Threshold waste level; Hazardous wastes -- Periodicals; Refuse and refuse disposal -- Periodicals; 363.728
• DOI: 10.1016/j.wasman.2017.10.019
• Languages: English
• ISSNs: 0956-053X

Abstract

Highlights: PSO based CVRP model for waste collection and route optimization. TWL and scheduling concepts are applied in PSO based CVRP model. Waste route is optimized based on collected waste, travel distance and tightness. PSO based CVRP model is a valuable tool for waste collection route optimization. Abstract: Waste collection widely depends on the route optimization problem that involves a large amount of expenditure in terms of capital, labor, and variable operational costs. Thus, the more waste collection route is optimized, the more reduction in different costs and environmental effect will be. This study proposes a modified particle swarm optimization (PSO) algorithm in a capacitated vehicle-routing problem (CVRP) model to determine the best waste collection and route optimization solutions. In this study, threshold waste level (TWL) and scheduling concepts are applied in the PSO-based CVRP model under different datasets. The obtained results from different datasets show that the proposed algorithmic CVRP model provides the best waste collection and route optimization in terms of travel distance, total waste, waste collection efficiency, and tightness at 70–75% of TWL. The obtained results for 1 week scheduling show that 70% of TWL performs better than all node consideration in terms of collected waste, distance, tightness, efficiency, fuel consumption, and cost. The proposed optimized model can serve as a valuable tool for waste collection and route optimization toward reducing socioeconomic and environmental impacts.