time-cost-quality optimization of broilers production process using integration genetic algorithm and fuzzy logic

one of the most important issues in the management of production is select the best option for each production activity, so that the time and cost of production is minimal and quality is the maximum. considering to the large number of activities and options for each activity, usually, this choice does not have a unique solution and can be used the utility function and assign weights to time, cost and quality, select the best answer from the answers obtained. since there is uncertainty in the real world, so to achieve a careful management must consider the uncertainty. in this paper, a fuzzy mathematical model for a network of activities is recommended. until among the possible methods, best method for each activity to be determined. for this purpose, a genetic algorithm based on non-dominated ranking was used for solving the problem. and best method presented for each activity in the production of broiler from buy eggs broiler breeder hen until slaughter house and the amount of time, cost and quality was calculated, 1793.8 hour and 9119.9 million rials and 48% respectively.