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Geneticists have succeeded in producing and strict selection a better broiler breeds that can that can provide better yields for shorter periods of time. However, chicken farm management is still a significant factor in producing broiler production. Some risks in the maintenance phase that are not treated early become one of the causes. This paper proposed application of risk management to identify, assess, analyze risks events in boiler farm management and how to mitigate those critical risks to increase the performance and productivity of the broiler production in closed house system. Bayesian networks can be used to analyze more specific information regarding rearing management and can be expected to provide solutions for the issue. Five processes in broiler management identified as basis to identify risk events such as receiving DOC, brooding period in 1st week, brooding period in 2nd week, growing period in 3rd week, growing period in 4th week until catching. Several risk events have identified based on interview and related literature and document such as risk of bad quality DOC on receiving DOC until risk of heat stress impact on last growing period . Measurable risk analysis is expected to revise any bad rearing management.