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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

Author
Bautista, J.; Alfaro, R.
Type of activity
Journal article
Journal
Progress in Artificial Intelligence
Date of publication
2018-12
Volume
7
Number
4
First page
327
Last page
338
DOI
https://doi.org/10.1007/s13748-018-0153-9 Open in new window
Project funding
Human factor and uncertainty on the sequencing and balancing mixed model lines
Repository
http://hdl.handle.net/2117/118791 Open in new window
URL
https://link.springer.com/article/10.1007%2Fs13748-018-0153-9 Open in new window
Abstract
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 ...
Citation
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, vol.7, núm. 4, p.327-338
Keywords
Assembly line balancing, Cycle time, Ergonomic risk, GRASP, Linear area, MILP
Group of research
OPE-PROTHIUS - Production and Business Management

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