Model to Increase the Productive Capacity of an Sme in the Beverage Sector Applying 5s Tools, Autonomous Maintenance, Plant Distribution and Automation

The high productive times of the processes has led to the production costs within a company to increase. Due to this, many authors proposed the use of different tools that can solve this problem. This research proposes the use of tools as: autonomous maintenance, 5's, layout and industrial automation to improve the filling process of a bottled water company. The objective of this research is to increase the productive capacity of this process by reducing unproductive times and organizing the worker's position. To do this, several methods have been applied to find and select the best tools that can solve the causes that cause this problem. Accordingly, it was possible to design a solution that covers all the causes that reduce the productive capacity of the process. With the proposed design, it was possible to increase the OEE of the filling machine by 54.21%, reduce the rate of products delivered out of time by 37.54%, increase the efficiency of the machine by 19.16% and reduce the workload of the worker by 39.44%. At the end of the implementation, the model must be validated in the Arena simulator.