Lean Manufacturing with stochastic dynamic simulation to increase productivity, line of Nuggetsin poultry company. Lima Region, 2019

Abstract

Introduction: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 elevenactivities 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.