Scheduling concrete delivery problems by a robust meta heuristic method

Research output: Contribution to conferencesPaperContributedpeer-review

Contributors

  • Mojtaba Maghrebi - , University of New South Wales (Author)
  • Travis S. Waller - , University of New South Wales (Author)
  • Claude Sammut - , University of New South Wales (Author)

Abstract

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.

Details

Original languageEnglish
Pages375-380
Number of pages6
Publication statusPublished - 2013
Peer-reviewedYes
Externally publishedYes

Conference

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

External IDs

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

Keywords

ASJC Scopus subject areas

Keywords

  • Heuristic, Ready Mixed Concrete, Resource Allocation