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Mehdizadeh, Esmaeil, Ghazizadeh, Rasa. (1395). Solving a Fuzzy Multi-objective Aggregate Production Planning Model with Learning and Deterioration Effects by Using Genetic and Tabu Search Algorithms. , 50(2), 341-354. doi: 10.22059/jieng.2016.60734
Esmaeil Mehdizadeh; Rasa Ghazizadeh. "Solving a Fuzzy Multi-objective Aggregate Production Planning Model with Learning and Deterioration Effects by Using Genetic and Tabu Search Algorithms". , 50, 2, 1395, 341-354. doi: 10.22059/jieng.2016.60734
Mehdizadeh, Esmaeil, Ghazizadeh, Rasa. (1395). 'Solving a Fuzzy Multi-objective Aggregate Production Planning Model with Learning and Deterioration Effects by Using Genetic and Tabu Search Algorithms', , 50(2), pp. 341-354. doi: 10.22059/jieng.2016.60734
Mehdizadeh, Esmaeil, Ghazizadeh, Rasa. Solving a Fuzzy Multi-objective Aggregate Production Planning Model with Learning and Deterioration Effects by Using Genetic and Tabu Search Algorithms. , 1395; 50(2): 341-354. doi: 10.22059/jieng.2016.60734

Solving a Fuzzy Multi-objective Aggregate Production Planning Model with Learning and Deterioration Effects by Using Genetic and Tabu Search Algorithms

Advances in Industrial Engineering
مقاله 14، دوره 50، شماره 2، دی 2016، صفحه 341-354    اصل مقاله (738.88 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jieng.2016.60734
نویسندگان
Esmaeil Mehdizadeh* ؛ Rasa Ghazizadeh
Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Iran
چکیده
In this paper a non linear integrated fuzzy multi-objective production planning model with the labor learning and machines deterioration effects is presented. The objective function consists of two quantitative objectives namely increase profits and reduces the cost of system failure and a qualitative objective namely increases the satisfaction rate of the customers. Different weights for objectives and modification of the objectives by using fuzzy goal programming method are considered to convert the fuzzy multi-objective model to a deterministic single-objective model and  the obtained model is solved by Genetic algorithm and Tabu search algorithm. Finally, the solution obtained from two algorithms compared together by using hypothesis test of equality of means. Experimental results show the proposed Genetic algorithm for solving the model has higher performance than the Tabu search algorithm.
کلیدواژه‌ها
Aggregate production planning؛ Fuzzy goal programming؛ Genetic Algorithm؛ Multi-Objective Programming؛ Tabu search algorithm
مراجع
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