Paper Info
Title
Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS.
Abstract
•We use NSGA-III and MOPSO algorithms to solve a multi-objective X-bar control chart design problem.•NSGA-III and MOPSO are modified to handle a constrained multi-objective problem with discrete and continuous variables.•Four DEA models are proposed to reduce the number of Pareto optimal solutions to a manageable size.•TOPSIS is used to prioritize the efficient optimal solutions.•Several metrics are used to compare the performance of NSGA-III and MOPSO algorithms.
Year
DOI
Venue
2016
10.1016/j.eswa.2015.11.007
Expert Systems with Applications
Keywords
Field
DocType
Economical control chart design,NSGA-III algorithm,MOPSO algorithm,Data envelopment analysis,TOPSIS
Particle swarm optimization,Data mining,Mathematical optimization,Multiple-criteria decision analysis,Computer science,Sorting,Control chart,Statistical process control,Data envelopment analysis,TOPSIS,Optimization problem
Journal
Volume
Issue
ISSN
50
C
0957-4174
Citations 
PageRank 
References 
22
0.83
16
Authors
5
Name
Order
Citations
PageRank
Madjid Tavana186577.39
Zhaojun Li2788.58
Mohammadsadegh Mobin3342.62
Mohammad Komaki4322.04
Ehsan Teymourian5683.71