Joint Fuzzy Logic and Genetic Algorithm to Management of Cost-time-quality in Modern Milling units of Rasht County

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NABAVI PELESARAEI ASHKAN; RAFIEE SHAHIN; MOHTASEBI SEYED SAEID

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Journal: Iranian Journal of Biosystems Engineering Year:2020 | Volume:50 | Issue:4 Page(s): 927-938

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Title

Joint Fuzzy Logic and Genetic Algorithm to Management of Cost-time-quality in Modern Milling units of Rasht County

Author(s)

NABAVI PELESARAEI ASHKAN | RAFIEE SHAHIN | MOHTASEBI SEYED SAEID | Issue Writer Certificate

Keywords

RiceQ1

Multi objective optimizationQ1

Pareto responseQ1

Conversion processQ1

Fuzzy logicQ2

Abstract

On one hand, the delicate physics and high sensitivity in the process of paddy conversion to white Rice and on the another hand, the importance of quality and its role in the value added of the final product indicate the importance of managing three indicators including quality, cost and time in the Rice production. Therefore, the purpose of this study was to achieve optimal layout of different methods with the lowest cost, minimum time and highest quality in the Conversion process. For this purpose, all possible methods for each stage of the Conversion process in the modern milling units were expressed and a series of fuzzy numbers was considered for them. Risk management was also done by applying fuzzy cutes from zero to one to investigate uncertainty. In the next step, the project management was adopted using the non-dominated sorting genetic algorithm (NSGA-II) and non-dominated ranked genetic algorithm (NRGA-II). Based on the results, the genetics algorithm (NSGA-II) showed better performance in comparison with genetic algorithm (NRGA-II) in solving this problem and finally, the lowest time, minimum cost and the highest quality in the specified conditions (α = 1) were founded 22. 22 hours, 8088170 Rial and 62%, respectively.

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APA: Copy

NABAVI PELESARAEI, ASHKAN, RAFIEE, SHAHIN, & MOHTASEBI, SEYED SAEID. (2020). Joint Fuzzy Logic and Genetic Algorithm to Management of Cost-time-quality in Modern Milling units of Rasht County. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 50(4 ), 927-938. SID. https://sid.ir/paper/144260/en

Vancouver: Copy

NABAVI PELESARAEI ASHKAN, RAFIEE SHAHIN, MOHTASEBI SEYED SAEID. Joint Fuzzy Logic and Genetic Algorithm to Management of Cost-time-quality in Modern Milling units of Rasht County. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2020;50(4 ):927-938. Available from: https://sid.ir/paper/144260/en

IEEE: Copy

ASHKAN NABAVI PELESARAEI, SHAHIN RAFIEE, and SEYED SAEID MOHTASEBI, “Joint Fuzzy Logic and Genetic Algorithm to Management of Cost-time-quality in Modern Milling units of Rasht County,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 50, no. 4 , pp. 927–938, 2020, [Online]. Available: https://sid.ir/paper/144260/en

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