Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes
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 s...
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doaj-137ae8374e9849bc85f173b62c2a0b212020-11-25T03:35:37ZengAtlantis PressInternational Journal of Computational Intelligence Systems 1875-68832016-08-019410.1080/18756891.2016.1204125Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributesJoaquin BautistaRocío Alfaro-PozoCristina Batalla-GarcíaWe 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.https://www.atlantis-press.com/article/25868728/viewGRASPAssembly line balancingErgonomic riskLinear Area |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Joaquin Bautista Rocío Alfaro-Pozo Cristina Batalla-García |
spellingShingle |
Joaquin Bautista Rocío Alfaro-Pozo Cristina Batalla-García Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes International Journal of Computational Intelligence Systems GRASP Assembly line balancing Ergonomic risk Linear Area |
author_facet |
Joaquin Bautista Rocío Alfaro-Pozo Cristina Batalla-García |
author_sort |
Joaquin Bautista |
title |
Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes |
title_short |
Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes |
title_full |
Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes |
title_fullStr |
Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes |
title_full_unstemmed |
Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes |
title_sort |
maximizing comfort in assembly lines with temporal, spatial and ergonomic attributes |
publisher |
Atlantis Press |
series |
International Journal of Computational Intelligence Systems |
issn |
1875-6883 |
publishDate |
2016-08-01 |
description |
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. |
topic |
GRASP Assembly line balancing Ergonomic risk Linear Area |
url |
https://www.atlantis-press.com/article/25868728/view |
work_keys_str_mv |
AT joaquinbautista maximizingcomfortinassemblylineswithtemporalspatialandergonomicattributes AT rocioalfaropozo maximizingcomfortinassemblylineswithtemporalspatialandergonomicattributes AT cristinabatallagarcia maximizingcomfortinassemblylineswithtemporalspatialandergonomicattributes |
_version_ |
1724553367061004288 |