An MCDA-DEA approach for mixed-model assembly line balancing problem under uncertainty-Reference-Cited by-同舟云学术

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An MCDA-DEA approach for mixed-model assembly line balancing problem under uncertainty

Published:2016-03-25 Issue:5 Volume:30 Page:2737-2748
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zahiri Behzad¹,Tavakkoli-Moghaddam Reza²³⁴,Rezaei-Malek Mohammad²³

Affiliation:

1. Department of Operations Management & Strategy, School of Management, State University of New York at Buffalo, Buffalo, NY, USA

2. School of Industrial Engineering and Engineering Optimization Research Group, College of Engineering, University of Tehran, Tehran, Iran

3. LCFC, Arts et Métiers ParisTech, Metz, France

4. Universal Scientific Education and Research Network (USERN), Tehran, Iran

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference40 articles.

1. A method for assembly line balancing;Betts;Engineering Costs and Production Economics,1989

2. Assembly line balancing problem with deterioration tasks and learning effect;Toksari;Expert Systems with Applications,2010

3. Including different kinds of preferences in a multi-objective ant algorithm for time and space assembly line balancing on different Nissan scenarios;Chica;Expert Systems with Applications,2011

4. Rule-based modeling and constraint programming based solution of the assembly line balancing problem;Topaloglu;Expert Systems with Applications,2012

5. Mixed model U-line balancing type-1 problem: A new approach;Rabbani;Journal of Manufacturing Systems,2012

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