Scheduling Concrete Delivery Problems by a Robust Meta Heuristic Method

Finding practical methods for resources allocation in Ready Mixed Concrete (RMC) is a critical issue. In the literature, heuristic methods have been mostly used for solving the RMC problem. The introduced methods are mostly intended to find a premature solution and then to try to fix the indefeasibilities by defined iterative algorithms. In this paper a new approach is proposed for constructing the solution structure when discrete heuristic methods are used. Genetic Algorithm (GA) has been selected for implementing the proposed idea, and for evaluating the model a large scale dataset is used. The dataset covers an active RMC for a period of one month. The comprehensive tests show that the proposed method is able to find a feasible solution without any need to adjust the method.