Scheduling concrete delivery problems by a robust meta heuristic method

Research output: Contribution to conferencesPaperContributedpeer-review



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.


Original languageEnglish
Number of pages6
Publication statusPublished - 2013


TitleUKSim-AMSS 7th European Modelling Symposium on Computer Modelling and Simulation, EMS 2013
Duration20 - 22 November 2013
CountryUnited Kingdom

External IDs

ORCID /0000-0002-2939-2090/work/141543789


ASJC Scopus subject areas


  • Heuristic, Ready Mixed Concrete, Resource Allocation