Forecasting of Foliar Fertilizers Sales in an Agrochemical Plant

Pablo Alberto Perez Gosende; Diana Gabriela Portugal Cordova; Fernando Xavier Medina Muñoz

Forecasting of Foliar Fertilizers Sales in an Agrochemical Plant

Pablo Alberto Perez Gosende, Diana Gabriela Portugal Cordova, Fernando Xavier Medina Muñoz

Interdisciplinary Research Group in Applied Mathematics (GIIMA)

Research output: Contribution to conference › Paper

Abstract

The competitive situation of production and sales of foliar fertilizers in Ecuador, clearly requires the use of management tools to ensure or facilitate an understanding of future demand and allow operational decision-making under uncertain market conditions. Among these management tools there are the forecasting techniques. In this paper it is described in detail the process of foliar fertilizers sales forecasting for an agrochemical business for the period 2015. After using five time-series models, the one that best fits the historical data was the linear regression. Given the presence of a seasonal component in the pattern of demand, the monthly forecast was made by a multiplicative seasonal method.

Translated title of the contribution	Pronóstico de Ventas de Fertilizantes Foliares en una Planta Agroquímica
Original language	English (US)
State	Published - 2 Dec 2015
Event	II Congreso Salesiano de Ciencia, Tecnología e Innovación para la Sociedad (CITIS 2015) - EC Duration: 2 Dec 2015 → 3 Dec 2015 https://citis.blog.ups.edu.ec/historia-del-congreso/congreso-citis-2015

Conference

Conference	II Congreso Salesiano de Ciencia, Tecnología e Innovación para la Sociedad (CITIS 2015)
Period	2/12/15 → 3/12/15
Internet address	https://citis.blog.ups.edu.ec/historia-del-congreso/congreso-citis-2015

Keywords

Foliar fertilizers
Sales forecasting
Time-series models

CACES Knowledge Areas

118A Agricultural and livestock production

Cite this

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title = "Forecasting of Foliar Fertilizers Sales in an Agrochemical Plant",

abstract = "The competitive situation of production and sales of foliar fertilizers in Ecuador, clearly requires the use of management tools to ensure or facilitate an understanding of future demand and allow operational decision-making under uncertain market conditions. Among these management tools there are the forecasting techniques. In this paper it is described in detail the process of foliar fertilizers sales forecasting for an agrochemical business for the period 2015. After using five time-series models, the one that best fits the historical data was the linear regression. Given the presence of a seasonal component in the pattern of demand, the monthly forecast was made by a multiplicative seasonal method.",

keywords = "Foliar fertilizers, Sales forecasting, Time-series models, Foliar fertilizers, Sales forecasting, Time-series models",

author = "{Perez Gosende}, {Pablo Alberto} and {Portugal Cordova}, {Diana Gabriela} and {Medina Mu{\~n}oz}, {Fernando Xavier}",

year = "2015",

month = dec,

day = "2",

language = "English (US)",

note = "II Congreso Salesiano de Ciencia, Tecnolog{\'i}a e Innovaci{\'o}n para la Sociedad (CITIS 2015) ; Conference date: 02-12-2015 Through 03-12-2015",

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T1 - Forecasting of Foliar Fertilizers Sales in an Agrochemical Plant

AU - Perez Gosende, Pablo Alberto

AU - Portugal Cordova, Diana Gabriela

AU - Medina Muñoz, Fernando Xavier

PY - 2015/12/2

Y1 - 2015/12/2

N2 - The competitive situation of production and sales of foliar fertilizers in Ecuador, clearly requires the use of management tools to ensure or facilitate an understanding of future demand and allow operational decision-making under uncertain market conditions. Among these management tools there are the forecasting techniques. In this paper it is described in detail the process of foliar fertilizers sales forecasting for an agrochemical business for the period 2015. After using five time-series models, the one that best fits the historical data was the linear regression. Given the presence of a seasonal component in the pattern of demand, the monthly forecast was made by a multiplicative seasonal method.

AB - The competitive situation of production and sales of foliar fertilizers in Ecuador, clearly requires the use of management tools to ensure or facilitate an understanding of future demand and allow operational decision-making under uncertain market conditions. Among these management tools there are the forecasting techniques. In this paper it is described in detail the process of foliar fertilizers sales forecasting for an agrochemical business for the period 2015. After using five time-series models, the one that best fits the historical data was the linear regression. Given the presence of a seasonal component in the pattern of demand, the monthly forecast was made by a multiplicative seasonal method.

KW - Foliar fertilizers

KW - Sales forecasting

KW - Time-series models

KW - Foliar fertilizers

KW - Sales forecasting

KW - Time-series models

UR - https://abyayala.org.ec/producto/segundo-congreso-salesiano-de-ciencia-tecnologia-e-innovacion-para-la-sociedad/

M3 - Paper

T2 - II Congreso Salesiano de Ciencia, Tecnología e Innovación para la Sociedad (CITIS 2015)

Y2 - 2 December 2015 through 3 December 2015

ER -

Forecasting of Foliar Fertilizers Sales in an Agrochemical Plant

Abstract

Conference

Keywords

CACES Knowledge Areas

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