Desarrollo de un modelo de simulación para la digitalización y análisis desempeño de un proceso industrial automatizado

Abstract

Abstract: FlexSim software was utilized to create a discrete event simulation model of Cafrilosa S.A.'s bovine slaughter line in order to optimize the line. Initial analysis of the problem revealed an imbalance in the slaughter line with many workers not maximizing their resources because of long wait times, accumulation of WIP, and poor allocation of work to employees due to waste movement. The methodology used for this study included process characterization, collecting data at the worksite for the amount of time spent completing a task, performing goodness of fit tests in Minitab, and validating a model for base simulation with the MAPE for the validation being less than 5% when comparing with actual performance of the line. The research considered two possible areas for improvement: adding an automated transport system on an overhead rail system and realigning employees to their best function based on the new transport system. Results indicated that the second area for improvement using automation to improve assembly line balancing and transport of livestock resulted in a 20.73% increase in production (21.49 pieces per hour) to a minimum of 17% reduction in processing time, and a decrease of at least 63% in average waiting time required before processing. The findings support the conclusion that digitalizing the process via simulation allows recognition of the most critical points of congestion and serves to validate the potential of the recommended approach to maximize productivity through the use of statistical analysis.