Published in: 14th International Industrial Engineering Conference
COI code: IIEC14_015
Paper Language: English
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Authors Using Multi-objective Ant Colony Optimization Algorithm to Solve a Multi-obj ective Facility Layout Problem in Dynamic Cellular Manufacturingnavid darvish ghaderi - MSc of Industrial Engineering, Babol, Iran
ramezan nemati keshteli - Department of Industrial Engineering, Faculty 0fEngineering-East 0f Guilan, Guilan university, Vajargah, Iran
Abstract:In cellular production, the production system is aimed at transforming several subsystems into a cell in order to produce similar products in a cell with a higher efﬁciency. In this paper, a multi-objective model in the layout-routing problem of cell production with the goal of minimizing costs, maximizing the level of service to customers has been addressed and solved using the meta- heuristic algorithm MOACO. The results of solving a bi-objective model using this meta-heuristic algorithm with its results in its previous solution method, the meta-heuristic algorithm NSGAII and the Epsilon constraint method showed that MOACO is able to provide better responses than NSGAII for large-scale issues. That is, at approximately equal times, algorithm MOACO was able to produce more accurate and better answers for the second objective function.
Keywords:Cellular Production; Multi-objective Model; Meta Heuristic Algorithms; MOACO; NSGAII; Epsilon Constraint
COI code: IIEC14_015
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darvish ghaderi, navid & ramezan nemati keshteli, 2017, Using Multi-objective Ant Colony Optimization Algorithm to Solve a Multi-obj ective Facility Layout Problem in Dynamic Cellular Manufacturing, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_015.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (darvish ghaderi, navid & ramezan nemati keshteli, 2017)
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