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Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes

Author
Bautista, J.; Alfaro, R.; Batalla, C.
Type of activity
Journal article
Journal
International Journal of Computational Intelligence Systems
Date of publication
2016-06-28
Volume
9
Number
4
First page
788
Last page
799
DOI
https://doi.org/10.1080/18756891.2016.1204125 Open in new window
Project funding
Human factor and uncertainty on the sequencing and balancing mixed model lines
Repository
http://hdl.handle.net/2117/88625 Open in new window
URL
http://www.tandfonline.com/doi/abs/10.1080/18756891.2016.1204125 Open in new window
Abstract
We aim at maximizing the comfort of operators in mixed-model assembly lines. To achieve this goal, we evaluate two assembly line balancing models: the first that minimizes the maximum ergonomic risk and the second one that minimizes the average absolute deviations of ergonomic risk. Through a case study we compare the results of the two models by two different resolution procedures: the Mixed Integer Linear Programming (MILP) and Greedy Randomized Adaptive Search Procedures (GRASP). Although lin...
Citation
Bautista, J., Alfaro, R., Batalla, C. Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes. "An international journal on computational intelligence techniques, methods and applications (Online)", 28 Juny 2016, vol. 9, núm. 4, p. 788-799.
Keywords
ALGORITHMS, Assembly line balancing, BALANCING PROBLEM, Ergonomic risk, GRASP, Linear Area, RISK, TIME
Group of research
OPE-PROTHIUS -

Participants