Abstract | ||
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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. |
Year | DOI | Venue |
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2016 | 10.1080/18756891.2016.1204125 | INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS |
Keywords | Field | DocType |
GRASP, Assembly line balancing, Ergonomic risk, Linear Area | Mathematical optimization,GRASP,Computer science,Absolute deviation,Integer programming,Linear programming,Operator (computer programming),Line balancing | Journal |
Volume | Issue | ISSN |
9 | 4 | 1875-6891 |
Citations | PageRank | References |
3 | 0.41 | 6 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joaquín Bautista | 1 | 345 | 27.50 |
Rocıo Alfaro | 2 | 36 | 6.68 |
Cristina Batalla | 3 | 25 | 3.84 |