TY - JOUR
T1 - Modelling and solving a cost-oriented resource-constrained multi-model assembly line balancing problem
AU - Pereira, Jordi
N1 - Funding Information:
This work was supported by Fondo Nacional de Desarrollo Cientìfico y Tecnológico of the Ministry of Education of Chile [grant number 1150306] titled ‘Heterogeneous assembly line balancing problems with process selection features’. This research was also partially supported by the supercomputing infrastructure of the NLHPC (ECM-02) in which some preliminary computational tests were conducted.
Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/6/3
Y1 - 2018/6/3
N2 - 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.
AB - 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.
KW - assembly line balancing
KW - combinatorial optimisation
KW - estimation of distribution algorithm
KW - heuristics
KW - lower bound
UR - http://www.scopus.com/inward/record.url?scp=85041563798&partnerID=8YFLogxK
U2 - 10.1080/00207543.2018.1427899
DO - 10.1080/00207543.2018.1427899
M3 - Article
AN - SCOPUS:85041563798
SN - 0020-7543
VL - 56
SP - 3994
EP - 4016
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 11
ER -