Manufactura esbelta con simulación dinámica estocástica para incremento de productividad, línea de Nuggets en empresa avícola. Región Lima, 2019

The objective was to apply the Slender Manufacturing with the application of Stochastic Simulation, to increase productivity in the Nuggets line of a poultry company. Our purpose is to optimize resources such as time. Materials and methods: The documentary analysis was used to collect data that was quantitatively processed with the Crystal Ball software that uses a population of random numbers as Montecarlo principle simulating ten thousand times and the use of seed value 123456. Results: There were eleven activities of the VSM with pre time test 943.89 seconds and post test time 922.79 seconds at a confidence level of 72.18%. The Kanban reports times of 82.31 minutes to 112.20 minutes with a confidence interval of 95.78% and a coefficient of variation of the times of 7.59%. On the other hand, the SMED, for 10,000 simulations registers a confidence level of 95.08% for an interval of 847 to 1,014 seconds in the set up of Baterizado and 95.33% for 1 960 to 2 202 seconds in the Formed. Productivity records an increase of 2.29%. Conclusions: We found that Lean Manufacturing tools were able to improve operating times and increase the productivity of Nuggets in the poultry company.