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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Main Authors: Joaquin Bautista, Rocío Alfaro-Pozo, Cristina Batalla-García
Format: Article
Language:English
Published: Atlantis Press 2016-08-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25868728/view
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spelling 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
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