Title
Multiobjective constructive heuristics for the 1/3 variant of the time and space assembly line balancing problem: ACO and random greedy search
Abstract
In this work we present two new multiobjective proposals based on ant colony optimisation and random greedy search algorithms to solve a more realistic extension of a classical industrial problem: time and space assembly line balancing. Some variants of these algorithms have been compared in order to find out the impact of different design configurations and the use of heuristic information. Good performance is shown after applying every algorithm to 10 well-known problem instances in comparison to NSGA-II. In addition, those algorithms which have provided the best results have been employed to tackle a real-world problem at the Nissan plant, located in Spain.
Year
DOI
Venue
2010
10.1016/j.ins.2010.05.033
Inf. Sci.
Keywords
Field
DocType
random greedy search,best result,new multiobjective proposal,space assembly line,heuristic information,nissan plant,good performance,multiobjective constructive heuristics,real-world problem,well-known problem instance,ant colony optimisation,classical industrial problem,different design configuration,grasp,information good,search algorithm,automotive industry
Mathematical optimization,Heuristic,GRASP,Spacetime,Greedy algorithm,Artificial intelligence,Constructive heuristic,Ant colony,Line balancing,Mathematics,Automotive industry
Journal
Volume
Issue
ISSN
180
18
0020-0255
Citations 
PageRank 
References 
25
0.99
32
Authors
4
Name
Order
Citations
PageRank
Manuel Chica114215.07
íscar Cordón2824.34
Sergio Damas336328.95
Joaquín Bautista434527.50