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جستجوی مقالات
چهارشنبه 26 آذر 1404
Journal of Industrial Engineering and Management Studies
، جلد ۱۱، شماره ۱، صفحات ۱۲۷-۱۳۹
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
A two-objective mathematical model for solving the facility layout problem using fuzzy goal programming and Artificial Bee Colony optimization
چکیده انگلیسی مقاله
The facility layout problem (FLP) aims to find the location of the facilities so that the departments do not overlap and the desired goals are optimized. The feasibility of proposed solutions in actual conditions is rarely considered in previous studies. This research proposes a two-objective mathematical programming model for solving the FLP to minimize the material handling cost and maximize the total closeness rating between departments, considering the limitations of space and allocable area. The objective functions are aggregated using the fuzzy goal programming approach. Due to the nonlinearity of the proposed model, an algorithm based on the Artificial Bee Colony (ABC) has also been developed to solve the model. The proposed method has been simulated in MATLAB on small, medium, and large samples containing 15, 50, and 100 departments respectively, and the results were compared with that of the PSO. The related aggregated objective function value was obtained as 0.845, 0.837, and 0.836 by the proposed method, and 0.809, 0.789, and 0.839 by the PSO algorithm. Respectively, the computation times were calculated as 15.21, 24.37, and 36.32 seconds in the proposed method, where the PSO obtained the best solutions in 18.22, 32.08, and 46.17 seconds for solving the sample problems. Hence, the calculation results show that the proposed method has a faster calculation time than the PSO and performs better in small and medium examples. Besides, a small variance of obtained solutions in 50 different runs, revealed a high stability of the proposed method.
کلیدواژههای انگلیسی مقاله
Facility layout problem,Material handling cost,fuzzy goal programming,Artificial Bee Colony Algorithm,Particle Swarm Optimization
نویسندگان مقاله
Shahram Saeidi |
Department of Industrial Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
نشانی اینترنتی
https://jiems.icms.ac.ir/article_202636_7fd2aa26b9411b1135380b6961b055de.pdf
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en
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