Journal
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Volume 9, Issue 4, Pages 788-799Publisher
ATLANTIS PRESS
DOI: 10.1080/18756891.2016.1204125
Keywords
GRASP; Assembly line balancing; Ergonomic risk; Linear Area
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Funding
- Ministerio de Economia y Competitividad (Spanish Government) through FHI-SELM2 project [TIN2014-57497-P]
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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.
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