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Journal of Intelligent Manufacturing

, Volume 30, Issue 1, pp 97–111 | Cite as

Balancing stochastic U-lines using particle swarm optimization

  • Emel Kızılkaya Aydoğan
  • Yılmaz Delice
  • Uğur ÖzcanEmail author
  • Cevriye Gencer
  • Özkan Bali
Article

Abstract

U-lines are important parts of the Just-In-Time production system in order to improve productivity and quality. In real life applications of assembly lines, the tasks may have varying execution times defined as a probability distribution. In this study, a novel particle swarm optimization algorithm is proposed to solve the U-line balancing problem with stochastic task times. A computational study is conducted to compare the performance of the proposed approach to the existing methods in the literature. The results of the computational study show that the proposed approach performs quite effectively. It also yields good solutions for all test problems within a short computational time.

Keywords

Assembly line balancing U-lines Stochastic Particle swarm optimization 

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Emel Kızılkaya Aydoğan
    • 1
  • Yılmaz Delice
    • 2
  • Uğur Özcan
    • 3
    Email author
  • Cevriye Gencer
    • 3
  • Özkan Bali
    • 4
  1. 1.Department of Industrial EngineeringErciyes UniversityKayseriTurkey
  2. 2.Department of Management and OrganizationDeveli Vocational College, Erciyes UniversityKayseriTurkey
  3. 3.Department of Industrial EngineeringGazi UniversityAnkaraTurkey
  4. 4.Defense Sciences InstituteTurkish Military AcademyAnkaraTurkey

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