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Modelling and solving a cost-oriented resource-constrained multi-model assembly line balancing problem

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  • Jordi Pereira

Abstract

A line balancing problem considers the assignment of operations to workstations in an assembly line. While assembly lines are usually associated to mass production of standardised goods, their advantages have led to their widespread use whenever a product-oriented production system is applicable and the benefits of the labour division and specialisation are significant, even when some of its characteristics may deviate from classical assembly lines. In this work, we study a line balancing problem found in the textile industry in which the line must be balanced for multiple types of goods taking into account resource requirements. In order to solve the problem, a hybrid method that combines classical methods for line balancing with an Estimation of Distribution Algorithm is proposed. Computational experiments show that the new procedure improves upon the state of the art when compared using a benchmark set derived from the literature, as well as when compared using data from the manufacturer that originated this research work.

Suggested Citation

  • Jordi Pereira, 2018. "Modelling and solving a cost-oriented resource-constrained multi-model assembly line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 56(11), pages 3994-4016, June.
  • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:11:p:3994-4016
    DOI: 10.1080/00207543.2018.1427899
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    Cited by:

    1. Abolfazl Jafari Asl & Maghsud Solimanpur & Ravi Shankar, 2019. "Multi-objective multi-model assembly line balancing problem: a quantitative study in engine manufacturing industry," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 603-627, September.
    2. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).

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