This research proposes a vigorous methodology based on the fuzzy set theory to improve the facility layout process. Using natural language, the fuzzy set theory is an appropriate tool for controlling complex systems such as facility planning. The closeness rating between departments in a plant depends on qualitative and quantitative factors. Some of these factors may have a greater effect on the closeness rating. Thus, analytical hierarchy process (AHP) is used to find the weight of these factors. In this paper, a computer program, called FDARC, is developed to generate quantitative activity relationship charts. These charts are used by FLAYOUT to develop the layouts. The procedure is compared with two other recent methods. Computational results are used to demonstrate the effectiveness and efficiency of the method proposed.
H.R. Khazaki, , A. Shahandeh, , & and S.R. Hejazi, (2022). Application of Fuzzy Decision-Making to Facility Layout Planning. Journal of Advanced Materials in Engineering (Esteghlal), 27(2), 31-47.
MLA
H.R. Khazaki; A. Shahandeh; and S.R. Hejazi. "Application of Fuzzy Decision-Making to Facility Layout Planning", Journal of Advanced Materials in Engineering (Esteghlal), 27, 2, 2022, 31-47.
HARVARD
H.R. Khazaki, , A. Shahandeh, , and S.R. Hejazi, (2022). 'Application of Fuzzy Decision-Making to Facility Layout Planning', Journal of Advanced Materials in Engineering (Esteghlal), 27(2), pp. 31-47.
VANCOUVER
H.R. Khazaki, , A. Shahandeh, , and S.R. Hejazi, Application of Fuzzy Decision-Making to Facility Layout Planning. Journal of Advanced Materials in Engineering (Esteghlal), 2022; 27(2): 31-47.
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