An integrated multi response Taguchi- neural network- robust data envelopment analysis model for CO2 laser cutting
Authors:
- Arash AlizadehAAArash Alizadeh
- Hashem OmraniHOHashem Omrani
- 1 January 2019
- journal article
- research article
- Published by Elsevier in Measurement
- Vol. 131, 69-78
Abstract
No abstract availableKeywords
This publication has 31 references indexed in Scilit:
- A neuro-data envelopment analysis approach for optimization of uncorrelated multiple response problems with smaller the better type controllable factorsJournal of Industrial Engineering International, 2013
- Optimizing performance with multiple responses using cross-evaluation and aggressive formulation in data envelopment analysisIIE Transactions, 2012
- Multi-objective optimization of laser-scribed micro grooves on AZO conductive thin film using Data Envelopment AnalysisOptics & Laser Technology, 2012
- The use of the Taguchi method with grey relational analysis and a neural network to optimize a novel GMA welding processJournal of Intelligent Manufacturing, 2010
- Data Envelopment Analysis of multiple response experimentsApplied Mathematical Modelling, 2010
- Data envelopment analysis with uncertain data: An application for Iranian electricity distribution companiesEnergy Policy, 2008
- Optimization of a multi-response problem in Taguchi's dynamic systemComputers & Industrial Engineering, 2005
- A data envelopment analysis method for optimizing multi-response problem with censored data in the Taguchi methodComputers & Industrial Engineering, 2004
- Multi-response robust design by principal component analysisTotal Quality Management, 1997
- Measuring the efficiency of decision making unitsEuropean Journal of Operational Research, 1978