Name
Abstract | ||
|---|---|---|
The present work is focused on the assembly line balancing design problems whose objective is to minimize the number of stations needed to manufacture a product in a line given a fixed cycle time, equivalent to a fixed production rate. The problem is solved using an ACO metaheuristic implementation with different features, obtaining good results. Afterwards, an adaptation of the previous implementation is used to solve a real case problem found in a bike assembly line with a hierarchical multi-objective function and additional constraints between tasks. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45724-0_6 | Ant Algorithms |
Keywords | Field | DocType |
aco metaheuristic implementation,ant algorithms,different feature,fixed cycle time,design problem,bike assembly line,additional constraint,fixed production rate,real case problem,previous implementation,assembly line balancing,assembly line,objective function,cycle time | Ant colony optimization algorithms,Vibration control,Computer science,Multiobjective programming,Artificial intelligence,Local search (optimization),Line balancing,Metaheuristic | Conference |
ISBN | Citations | PageRank |
3-540-44146-8 | 18 | 2.65 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joaquín Bautista | 1 | 345 | 27.50 |
| Jordi Pereira | 2 | 252 | 19.64 |