Multi-criterion Tackling Bottleneck Machines and Exceptional Parts in Cell Formation Using Genetic Algorithms

  • S. A. Mansouri
  • S. M. Moattar-Husseini
  • S. H. Zegordi


In this paper a Multi-criterion Decision Making (MCDM) model is introduced to tackle bottleneck machines and exceptional parts in manufacturing cell formation. In a given part-machine grouping scheme, bottleneck machines can be eliminated through machine duplication and exceptional parts may be removed by means of subcontracting. The developed multi-criterion model simultaneously takes into account 4 conflicting criteria regarding: inter-cell part movement, total cost of machine duplication and part subcontracting, overall utilization of the cells, and imbalance of the workloads among the cells. A Multi-objective Genetic Algorithm (MOGA) is then developed to seek for non-dominated or non-inferior solutions to assist the decision maker in his/her final selection. Comparative results in a number of cell formation problems show promising capabilities of the proposed solution approach.


Cellular Manufacture Cellular Manufacturing System Cell Formation Problem Reference Algorithm Bottleneck Machine 
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Copyright information

© Springer-Verlag London 2002

Authors and Affiliations

  • S. A. Mansouri
    • 1
  • S. M. Moattar-Husseini
    • 1
  • S. H. Zegordi
    • 2
  1. 1.Department of Industrial EngineeringAmirkabir University of TechnologyTehranIran
  2. 2.Department of Industrial EngineeringTarbiat Modarres UniversityTehranIran

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