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Guevara, I., Rodriguez, J. (2023). Demand and inventory simulation using time series [Universidad de Lima]. https://hdl.handle.net/20.500.12724/20533
Guevara, I., Rodriguez, J. Demand and inventory simulation using time series []. PE: Universidad de Lima; 2023. https://hdl.handle.net/20.500.12724/20533
@misc{renati/1442905,
title = "Demand and inventory simulation using time series",
author = "Rodriguez Salsavilca, Jhon Paul",
publisher = "Universidad de Lima",
year = "2023"
}
Title: Demand and inventory simulation using time series
Advisor(s): Taquía Gutiérrez, José Antonio
OCDE field: https://purl.org/pe-repo/ocde/ford#2.11.04
Issue Date: 2023
Institution: Universidad de Lima
Abstract: La importancia de implementar un adecuado proceso de gestión de la demanda y el inventario mejora la coordinación en los modelos de cadena de suministro. El propósito de esta investigación es analizar y proponer la aplicación de una técnica de pronóstico y la implementación de una política de revisión continua de inventario mediante el diseño de una simulación para una empresa del sector comercial veterinario. Actualmente, las empresas sin esta coordinación obtienen un nivel de inventario inadecuado generando pérdidas en las utilidades y un bajo nivel de demanda de servicio. Este estudio presenta como resultado un modelo de optimización basado en la técnica ARIMA y un modelo de inventario simulado en el software Arena.
The importance of implementing an adequate demand and inventory management process improves coordination in supply chain models. The purpose of this research is to analyze and propose the application of a forecasting technique and the implementation of a continuous inventory review policy by designing a simulation for a company in the veterinary commercial sector. Currently, companies without this coordination obtains an inadequate inventory level generating losses in profits and a low demand level of service. This study presents as a result an optimization model based on the ARIMA technique and an inventory model simulated in Arena software.
The importance of implementing an adequate demand and inventory management process improves coordination in supply chain models. The purpose of this research is to analyze and propose the application of a forecasting technique and the implementation of a continuous inventory review policy by designing a simulation for a company in the veterinary commercial sector. Currently, companies without this coordination obtains an inadequate inventory level generating losses in profits and a low demand level of service. This study presents as a result an optimization model based on the ARIMA technique and an inventory model simulated in Arena software.
Link to repository: https://hdl.handle.net/20.500.12724/20533
Discipline: Ingeniería Industrial
Grade or title grantor: Universidad de Lima. Facultad de Ingeniería
Grade or title: Ingeniero Industrial
Juror: Chávez Ugáz, Rafael; Garcia Lopez, Yvan Jesus; Taquía Gutiérrez, José Antonio
Register date: 31-May-2024
This item is licensed under a Creative Commons License