Title
Including different kinds of preferences in a multi-objective ant algorithm for time and space assembly line balancing on different Nissan scenarios
Abstract
Most of the decision support systems for balancing industrial assembly lines are designed to report a huge number of possible line configurations, according to several criteria. In this contribution, we tackle a more realistic variant of the classical assembly line problem formulation, time and space assembly line balancing. Our goal is to study the influence of incorporating user preferences based on Nissan automotive domain knowledge to guide the multi-objective search process with two different aims. First, to reduce the number of equally preferred assembly line configurations (i.e., solutions in the decision space) according to Nissan plants requirements. Second, to only provide the plant managers with configurations of their contextual interest in the objective space (i.e., solutions within their preferred Pareto front region) based on real-world economical variables. We face the said problem with a multi-objective ant colony optimisation algorithm. Using the real data of the Nissan Pathfinder engine, a solid empirical study is carried out to obtain the most useful solutions for the decision makers in six different Nissan scenarios around the world.
Year
DOI
Venue
2011
10.1016/j.eswa.2010.07.023
Expert Syst. Appl.
Keywords
Field
DocType
preferred assembly line configuration,multi-objective optimisation,assembly lines,nissan pathfinder engine,multi-objective ant algorithm,automotive industry,possible line configuration,nissan plants requirement,domain knowledge,decision maker,nissan,user preferences,time and space assembly line balancing problem,nissan automotive domain knowledge,industrial assembly line,space assembly line balancing,different nissan scenario,classical assembly line problem,different kind,ant colony optimisation,empirical study,pareto front
Pathfinder,Domain knowledge,Computer science,Decision support system,Spacetime,Algorithm,Multi-objective optimization,Ant colony,Empirical research,Automotive industry
Journal
Volume
Issue
ISSN
38
1
Expert Systems With Applications
Citations 
PageRank 
References 
14
0.83
24
Authors
4
Name
Order
Citations
PageRank
Manuel Chica114215.07
Oscar Cordón21572100.75
Sergio Damas336328.95
Joaquín Bautista434527.50