Using Multi-objective Simulated Annealing Algorithm to Solve a Multi-obj ective Facility Layout Problem in Dynamic Cellular Manufacturing
Publish place: 14th International Industrial Engineering Conference
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC14_014
تاریخ نمایه سازی: 26 مرداد 1397
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 beenaddressed and solved using the meta-heuristic algorithm MOSA. 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 MOSA is able to provide better responses than NSGAII for large-scale issues. That is, at approximately equal times, algorithm MOSA was able to produce more accurate and better answers for the second objective function.
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Authors
navid davarish ghaderi
MSC Industrial Engineering, Mazandaran Institute of Technology, Babol, Iran
ramezan nemati keshteli
Department of Industrial Engineering, Faculty of Engineering-East of Guilan, Guilan university, Vajargah, Iran
fatemeh mohammadian
Department of industrial engineering, Ph.D. student, South Tehran Branch, Islamic Azad University, Tehran, Iran
maral maleknezhad
Department of industrial engineering, B.Sc. student, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran