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GRASP for minimizing the ergonomic risk range in mixed-model assembly lines

Author
Bautista, J.; Alfaro, R.; Batalla, C.
Type of activity
Presentation of work at congresses
Name of edition
XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016)
Date of publication
2016
Presentation's date
2016-09-15
Book of congress proceedings
XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016)
First page
1
Last page
10
Publisher
Ediciones Universidad de Salamanca
Project funding
Human factor and uncertainty on the sequencing and balancing mixed model lines
Repository
http://hdl.handle.net/2117/91099 Open in new window
URL
http://congresocedi.es/actas/actas.html Open in new window
Abstract
This research examines an assembly line balancing problem and compares the linear programing with a Greedy Randomized Adaptive Search Procedure (GRASP). The problem focuses on minimizing the absolute average deviation for the ergonomic risk between the set of workstations of the line, considering a fixed cycle time and an available space per station. However, the final objective is to obtain line configurations with the lowest possible ergonomic risk, and the lowest discrepancy for the risk leve...
Citation
Bautista, J., Alfaro, R., Batalla, C. GRASP for minimizing the ergonomic risk range in mixed-model assembly lines. A: Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. "XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016)". Salamanca: Ediciones Universidad de Salamanca, 2016, p. 1-10.
Keywords
GRASP, MILP, assembly line balancing problem, ergonomic risk
Group of research
OPE-PROTHIUS -

Participants