Title
Evaluating optimization models to solve SALBP
Abstract
This work evaluates the performance of constraint programming (CP) and integer programming (IP) formulations to solve the Simple Assembly Line Balancing Problem (SALBP) exactly. Traditionally, its exact solution by CP or IP and standard software has been considered to be inefficient to real-world instances. However, nowadays this is becoming more realistic thanks to recent improvements both in hardware and software power. In this context, analyzing the best way to model and to solve SALBP is acquiring relevance. The aim of this paper is to identify the best way to model SALBP-1 (minimizing the number of stations, for a given cycle time) and SALBP-2 (minimizing the cycle time, for a given number of stations). In order to do so, a wide computational experiment is carried out to analyze the performance of one CP and three IP formulations to solve each problem. The results reveal which of the alternative models and solution techniques is the most efficient to solve SALBP-1 and SALBP-2, respectively.
Year
DOI
Venue
2007
10.1007/978-3-540-74472-6_65
ICCSA (1)
Keywords
Field
DocType
standard software,exact solution,integer programming,constraint programming,software power,cycle time,ip formulation,optimization model,alternative model,simple assembly line balancing,solution technique,computer experiment
Mathematical optimization,Computer science,Constraint programming,Software,Integer programming,Line balancing
Conference
Volume
ISSN
ISBN
4705
0302-9743
3-540-74468-1
Citations 
PageRank 
References 
5
0.56
6
Authors
3
Name
Order
Citations
PageRank
rafael pastor moreno150.56
laia ferrer marti250.90
Alberto García-Villoria39210.74