Optimization of Scheduling and Dispatching Ready Mixed Concrete Truck for Construction Project Using Grey Wolf Optimization

Abstract

This paper optimizes Ready Mixed Concrete (RMC) truck dispatch schedules in a large construction project to minimize transportation costs considering construction constraints. Constraints include limited travel, casting time, truck count, weight limits, and distances between RMC Batch plants and construction sites. Grey Wolf Optimization (GWO) is employed for optimization. The methodology involves developing a mathematical large construction project model for RMC truck scheduling. GWO then finds optimal schedules for RMC in a large construction project, addressing truck operations. GWO's effectiveness is demonstrated by testing on a scenario. Results are compared with those of the genetic algorithm (GA) and particle swarm optimization (PSO). Experimental findings consistently showcase GWO's superiority - yielding higher quality solutions, faster computation, and efficient scheduling.