Analysis of an inventory model in perishable products applying Tabu and Montecarlo simulation metaheuristic algorithm
Abstract
The present research work intends to provide an optimal solution to the inventory problems present in the bakery “El Chino”, given that in the last three years due to the reports sent to the local administrator, it was possible to show that it is unknown appropriate amount of thread production and its periodicity, generating a large number of stock of perishable products, which, to avoid a major loss before it expires, is sold at the price of production cost. Therefore, based on the information provided from the years 2017, 2018 and so far from 2019, the remaining months of the current year will be simulated, to project the amount of thread production for the year 2020, so it is proposed to optimize the cost of sales, the use of computer tools, simulation techniques, and application of mathematical, metaheuristic and stochastic models such as the Monte Carlo Algorithm and the Taboo algorithm, resulting in the appropriate amount of daily production, which will be presented to the local administrator
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