Two-Stage inter-cell layout design for cellular manufacturing by using ant colony optimization algorithms

  • Authors:

  • Bo Xing;Wen-jing Gao;Fulufhelo V. Nelwamondo;Kimberly Battle;Tshilidzi Marwala

  • Affiliations:

  • Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa;Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa;Biometrics Research Group, Modelling and Digital Science Unit, Council for Science and Industrial Research (CSIR), Pretoria, South Africa;Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa;Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

  • Venue:
  • ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
  • Year:
  • 2010

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Abstract

Facility layout planning plays an important role in the manufacturing process and seriously impacts a company's profitability A well-planned layout can significantly reduce the total material handling cost The purpose of this paper is to develop a two-stage inter-cell layout optimization approach by using one of the popular meta-heuristics — the Ant Colony Optimization algorithm At the first stage, the cells are formed based on the part-machine clustering results obtained through the ant system algorithm In other words, we get the initial inter-cell layout after this stage The work at the second stage uses a hybrid ant system algorithm to improve the solution obtained at previous stage Different performance measures are also employed in this paper to evaluate the results.