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

Yılmaz Delice, Emel Kızılkaya Aydoğan, Uğur Özcan () and Mehmet Sıtkı İlkay
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Yılmaz Delice: Erciyes University
Emel Kızılkaya Aydoğan: Erciyes University
Uğur Özcan: Gazi University
Mehmet Sıtkı İlkay: Erciyes University

4OR, 2017, vol. 15, issue 1, 37-66

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.

Keywords: Two-sided assembly line balancing; U-type assembly lines; Particle swarm optimization; 90B30; 90C59 (search for similar items in EconPapers)
Date: 2017
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