Grading Alborz province laying hen farms by using Multiple Attribute Decision Making System

This project was conducted to grad Alborz province laying hen farms by Multiple Attribute Decision Making methods. So, these farms divided to two groups (less than 30,000 hen's in a farm capacity and higher capacity of 3000 hen's in a farm). These groups were consisted of 8 farms. All farms data were collected through a questionnaire. To grading, performance trails such as feed intake, egg mass production, mortality and cost was used. Multiple Attribute Decision Making SAW farms for grading methods were used. Farms with high capacity (more than 30,000 hen capacity) and low capacity (less than 30,000 hen capacity) were classified in 3 groups based on the rating very good (score above 90), good (score above 80) and average (score above 70). Finally, the grading system could create competition among farms, increase efficiency and reduce the costs of production.