Balancing two-sided U-type assembly lines using modified particle swarm optimization algorithm


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Delice Y., Aydogan E., Ozcan U., Ilkay M. S.

4OR, vol.15, pp.37-66, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 15
  • Publication Date: 2017
  • Doi Number: 10.1007/s10288-016-0320-4
  • Journal Name: 4OR
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.37-66
  • Erciyes University Affiliated: Yes

Abstract

Abstract In this paper, a new two-sided U-type assembly line balancing (TUALB)
procedure and a new algorithm based on the particle swarm optimization algorithm
to solve the TUALB problem are proposed. The proposed approach minimizes the
number of stations for a given cycle time as the primary objective and it minimizes
the number of positions as a secondary objective. The proposed approach is illustrated
with an example problem. In order to evaluate the efficiency of the proposed algorithm,
the test problems available in the literature are used. The experimental results show
that the proposed approach performs well.

In this paper, a new two-sided U-type assembly line balancing (TUALB) procedure and a new algorithm based on the particle swarm optimization algorithm to solve the TUALB problem are proposed. The proposed approach minimizes the number of stations for a given cycle time as the primary objective and it minimizes the number of positions as a secondary objective. The proposed approach is illustrated with an example problem. In order to evaluate the efficiency of the proposed algorithm, the test problems available in the literature are used. The experimental results show that the proposed approach performs well.