Paper Info
Title
GRASP for Minimizing the Ergonomic Risk Range in Mixed-Model Assembly Lines.
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 level between all stations. Although GRASP does not win linear programing, in all cases, it shows competitive.
Year
DOI
Venue
2016
10.1007/978-3-319-44636-3_37
ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2016
Keywords
DocType
Volume
GRASP,MILP,Assembly line balancing problem,Ergonomic risk
Conference
9868
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Joaquín Bautista134527.50
Rocıo Alfaro2366.68
Cristina Batalla3253.84