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A case study at the Nissan Barcelona factory to minimize the ergonomic risk and its standard deviation in a mixed-model assembly line

Autor
Bautista, J.; Alfaro, R.
Tipus d'activitat
Article en revista
Revista
Progress in Artificial Intelligence
Data de publicació
2018-12
Volum
7
Número
4
Pàgina inicial
327
Pàgina final
338
DOI
https://doi.org/10.1007/s13748-018-0153-9 Obrir en finestra nova
Projecte finançador
Factor humano e incertidumbre sobre la secuenciación y el equilibrado en líneas de modelos mixtos
Repositori
http://hdl.handle.net/2117/118791 Obrir en finestra nova
URL
https://link.springer.com/article/10.1007%2Fs13748-018-0153-9 Obrir en finestra nova
Resum
This work examines a balancing problem wherein the objective is to minimize both the ergonomic risk dispersion between the set of workstations of a mixed-model assembly line and the risk level of the workstation with the greatest ergonomic factor. A greedy randomized adaptive search procedure (GRASP) procedure is proposed to achieve these two objectives simultaneously. This new procedure is compared against two mixed integer linear programs: the MILP-1 model that minimizes the maximum ergonomic ...
Citació
Bautista, J., Alfaro, R. A case study at the Nissan Barcelona factory to minimize the ergonomic risk and its standard deviation in a mixed-model assembly line. "Progress in Artificial Intelligence", 5 Juny 2017, p. 1-12.
Paraules clau
Assembly line balancing, Cycle time, Ergonomic risk, GRASP, Linear area, MILP
Grup de recerca
OPE-PROTHIUS - Organització de la Producció en Tallers Híbrids

Participants