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Minimizing the ergonomic risk and its dispersion in a mixed model assembly line using GRASP

Author
Bautista, J.; Alfaro, R.
Type of activity
Presentation of work at congresses
Name of edition
XII Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017)
Date of publication
2017
Presentation's date
2017-07-05
Book of congress proceedings
Metaheuristics: Proceeding of the MIC and MAEB 2017 Conferences
First page
943
Last page
952
Publisher
Universitat Pompeu Fabra
Project funding
Human factor and uncertainty on the sequencing and balancing mixed model lines
Repository
http://hdl.handle.net/2117/107456 Open in new window
http://mic2017.upf.edu/proceedings/ Open in new window
URL
https://www.upf.edu Open in new window
Abstract
This work addresses a balancing problem approach whose objective is to minimizing 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 hazard. A GRASP procedure is proposed to achieve these two challenges simultaneously. This new procedure is compared with two Mixed Integer Linear Programs, the MILP-1 that minimizes the maximum ergonomic risk of the assembly line, and the MILP-2 that minimizes the ave...
Citation
Bautista, J., Alfaro, R. Minimizing the ergonomic risk and its dispersion in a mixed model assembly line using GRASP. A: Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. "Metaheuristics: Proceeding of the MIC and MAEB 2017 Conferences". Barcelona: Universitat Pompeu Fabra, 2017, p. 943-952.
Keywords
Assembly line balancing, Ergonomic risk, GRASP, Linear Area
Group of research
OPE-PROTHIUS -

Participants

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