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A multi-objective car sequencing problem on two-sided assembly lines

Author

Listed:
  • Parames Chutima

    (Chulalongkorn University)

  • Sathaporn Olarnviwatchai

    (Chulalongkorn University)

Abstract

The car sequencing problem consists of sequencing a given set of cars to be produced in each day. This paper presents an application of the extended coincident algorithm (COIN-E), which is an instance of the estimation of distribution algorithms, to a multi-objective car sequencing problem on a more realistic platform, i.e. two-sided assembly lines. Three conflicting objectives are optimised simultaneously in a Pareto sense including minimise the number of paint colour changes, minimise the total number of ratio constraint violations and minimise the utility work. The performances of COIN-E are compared with COIN (its original version), NSGA II, DPSO and BBO. The results reveal that COIN-E is superior to the other contestant algorithms in both solution quality and diversity.

Suggested Citation

  • Parames Chutima & Sathaporn Olarnviwatchai, 2018. "A multi-objective car sequencing problem on two-sided assembly lines," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1617-1636, October.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:7:d:10.1007_s10845-016-1201-6
    DOI: 10.1007/s10845-016-1201-6
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    References listed on IDEAS

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    12. Parames Chutima & Karn Jitmetta, 2013. "Adaptive biogeography-based optimisation for two-sided mixed-model assembly line sequencing problems," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 16(4), pages 390-420.
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    Cited by:

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    2. Masoud Rabbani & Mahdi Mokhtarzadeh & Neda Manavizadeh & Azadeh Farsi, 2021. "Solving a bi-objective mixed-model assembly-line sequencing using metaheuristic algorithms considering ergonomic factors, customer behavior, and periodic maintenance," OPSEARCH, Springer;Operational Research Society of India, vol. 58(3), pages 513-539, September.

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