In this study, the production process of Karaman Textiles, for which production planning is done manually, was observed and analyzed. This study aims to minimize the unused machine capacity and idle time of the existing system by developing a mixed integer programming (MIP) model, developing scenarios, and obtaining the results with GAMS software. In addition, the results of the scenarios are compared and evaluated to reach the optimal result that meets and maximizes the efficiency of the production process. The company's usual production planning is done manually and determined according to annual demand. The study aims to minimize the machine working times and that complete planning of the production in the most optimal way. In this study, the company's production time and machine usage times were optimized, and under normal conditions, 15,000 fabric pants were produced for 8 hours a day, 5 days a week, and 4 weeks a month. The scenario analysis aimed to produce by adding 4,000 pieces of velvet pants in addition to 15,000 fabric pants in the first scenario. The second scenario aims to minimize the production time of 15,000 fabric pants by limiting the working times of the machines owned by the company.