Optimizing production capacity in a food company using discrete event simulation

Abstract

This work applies discrete event simulation to evaluate proposals to improve the capacity of the production process and, therefore, the efficiency of a food company by proposing and comparing scenarios. The methodology was divided into five phases: process characterization, input analysis, model development and validation, scenario simulation, and results analysis. The most favorable scenario was production rescheduling, which increased throughput by 38.70%, 9.57%, and 56.62% for corn tortillas, promasa, and wheat flour tortillas, respectively. Additionally, resource utilization was increased, and waiting times were reduced, enhancing efficiency and production capacity.