Demand and Inventory Simulation using Time Series

Jhon Rodriguez Salsavilca; Ingrid Guevara Niño; José Antonio Taquía Gutiérrez

Demand and Inventory Simulation using Time Series

Jhon Rodriguez Salsavilca
, Ingrid Guevara Niño
, José Antonio Taquía Gutiérrez

Industrial Engineering School

Research output: Chapter in Book/Report/Conference proceeding › Paper (Conference contribution) › peer-review

Abstract

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.

Original language	English
Title of host publication	Demand and Inventory Simulation using Time Series
Place of Publication	USA
Publisher	IEOM Society International
Chapter	1
Number of pages	13
ISBN (Electronic)	978-1-7923-9161-3
State	Published - 26 Jul 2022

Access to Document

https://ieomsociety.org/proceedings/2022rome/267.pdfLicense: CC BY-ND

Urban logistics applied to retail distribution of products and services
Taquía Gutiérrez, J. A. (PI)
Universidad de Lima
1/04/22 → 31/03/23
Project: Research
Risk management on supply chain planning for new markets.
Taquía Gutiérrez, J. A. (PI)
8/04/13 → 28/03/14
Project: Research

Cite this

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title = "Demand and Inventory Simulation using Time Series",

abstract = "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.",

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AB - 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.

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Demand and Inventory Simulation using Time Series

Abstract

Access to Document

Projects

Urban logistics applied to retail distribution of products and services

Risk management on supply chain planning for new markets.

Cite this