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Optimization of the Supply of Components for Mass Production with the Use of the Ant Colony Algorithm

  • Joanna Kotowska
  • Marcin Markowski
  • Anna Burduk
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 637)

Abstract

The paper raises the issue of adapting the logistics processes to the changes in the manufacturing area. The continuous improvement of production processes enforces searching for better solutions for the milk run to achieve shorter time of the milk run loop. In the paper we propose integer linear programming (ILP) model ant the intelligent ant-colony based meta-heuristic algorithm for the milkman problem. The tuning process of algorithm and the verification of algorithm performance are reported in the paper. Proposed algorithm is then utilized for solving real-life production line provisioning problem.

Keywords

Logistics processes Milk run Ant colony optimization (ACO) Meta-heuristics Intelligent optimization methods of production systems 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Joanna Kotowska
    • 1
  • Marcin Markowski
    • 2
  • Anna Burduk
    • 1
  1. 1.Faculty of Mechanical EngineeringWroclaw University of Science and TechnologyWroclawPoland
  2. 2.Faculty of ElectronicsWroclaw University of Science and TechnologyWroclawPoland

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