Abstract. This study aims to determine the optimal Hell Nailing machine maintenance schedule by using Genetic Algorithm method. This method can solve the problems faced by the company that is, often the occurrence of damage at the time has not been done back treatment, this research conducted at PT. Karyamitra Budisentosa which is a company engaged in the production of producing women's shoes with demand patterns in accordance with consumer demand. The variables used are machine maintenance optimization while the obeservation variables include data of damage time, data maintenance time, data setup machine data downtime. Data collected from interviews conducted at PT. Karyamita Budisentosa in the form of machine maintenance data. The result of this research is the optimal machine maintenance schedule in 1 year done 3 times.