The use of scheduling techniques in ready mixed concrete (RMC) firms in Bolivia is a complex problem. The authors developed a linear model for a Bolivian RMC firm taking into account the research context. This model integrated RMC truck dispatch data to decide the optimal RMC supply schedule. The authors used historical dispatching data, interviews, and field measurements to build a database and characterize the firm's demand to build an optimized model. A solution algorithm using Solver from Excel was developed to efficiently solve the optimal RMC supply scheduling problem. Afterward, the solution was compared using actual operational data. The results show that the solution algorithm increases RMC supply efficiency and saves costs.