Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes
Rights accessOpen Access
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 linear programming offers best solution, the results given by GRASPs are competitive.
CitationBautista, 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.