Citas bibligráficas
Chacaña, S., Sanchez, M. (2024). Demand Simulation to Improve Inventory Management in a Mass Consumption Ice Cream Company. a Case Study in Peru [Universidad de Lima]. https://hdl.handle.net/20.500.12724/21284
Chacaña, S., Sanchez, M. Demand Simulation to Improve Inventory Management in a Mass Consumption Ice Cream Company. a Case Study in Peru []. PE: Universidad de Lima; 2024. https://hdl.handle.net/20.500.12724/21284
@misc{renati/1442769,
title = "Demand Simulation to Improve Inventory Management in a Mass Consumption Ice Cream Company. a Case Study in Peru",
author = "Sanchez Diaz, Marcela Fernanda",
publisher = "Universidad de Lima",
year = "2024"
}
At present, the sector of mass consumption companies is going through various difficulties, especially in the area of storage and delivery of products. Ignorance and poor organization of inventories cause delays in shipments, which generates great dissatisfaction in customers as well as very high logistics costs. The present work is a case study focused on the simulation and improvement of a Peruvian mass consumption company, so this research focuses on the search for engineering tools with which the main problems about inventory management and distribution will be solved. demand; and thus achieve an improvement in the coordination of the procedures of the distribution center. Therefore, the purpose of this research is to propose new forecasting techniques and implement a new inventory management policy, by checking through the Arena software. Finally, it was concluded that the ARIMA method was the most appropriate projection technique with the nature of the company's demand, providing a more accurate and useful forecast; In addition, as a result, we obtain a 57.69% higher profit increase in comparison between the continuous and periodic review inventory replenishment policies.
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