Many companies require the implementation of operations engineering models to optimize processes in Peru. Companies often order production lots based on current inventory or orders from their vendors. The implementation of EOQ allows the development of a methodology to determine optimal production quantities in such a way that inventory and costs are reduced. It is desired to bring theoretical implementations of EOQ, Linear programming and aggregate planning to real industrial situations and observe their interrelationships. The present work develops a case study in which EOQ (Economic Order Quantity) based on unknown demand, Linear Programming and aggregate planning was implemented to a water bottling company located in Peru to reduce its costs. Simulations carried out using two different programs show that the information provided by EOQ, Aggregate Planning and Linear Programming reduc...