The type of research used is descriptive research with a cross-sectional time horizon. This research used the Forecasting and Linear Programming methods in the POM QM software for Windows 4 to obtain the forecast and combination of production quantities to optimize production and maximize profits. Selection of the appropriate forecasting method is by selecting the method with the smallest MSE and MAD values. The results indicated that the appropriate method used for forecasting is the Linear Trend. Therefore, based on these data, in 2017, the demand for Facial Wash for Acne II was 116,871 bottles; Facial Wash for Sensitive Skin was 39,701 bottles, and Brightening Facial Wash was 28,797 bottles. By processing the data using Linear Programming in 2017, PT. XYZ produces Facial Wash for Acne II for 116,871 bottles, Facial Wash for Sensitive Skin for 39,701 bottles, and Brightening Facial Wash for 16,228 bottles and will gain a profit of Rp 3,281,444,000. The application of Linear Programming may assign a positive effect on PT. XYZ to optimize the production and gain maximum profit.