Demand forecasting: proposal of a model for a glass tempering industry
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Independent Journal of Management & Production |
Texto Completo: | http://www.ijmp.jor.br/index.php/ijmp/article/view/808 |
Resumo: | The given article aims to evaluate different quantitative demand forecast methods through a case study on a glass tempering company. The analysis were held based on historical data series, which allowed the use of a part of this data for method application and another part for comparison and validation of the model`s results. The methods were compared based on obtaining the mean absolute error. In the studied company, the raw material request for the suppliers was made when new orders are ordered (pulled production). This method results in longer responsiveness, mainly due to the waiting time of raw material arrival. The application of those different demand forecasting models were analysed over three types of products on the tempered glass category, which represents a total volume of 65% of the company's costs. As a result, two methods were better adapted to the real data, providing absolute errors between 0.25 and 0.29. This given work showed that the application of the demand forecasting methods would reduce orders delivery time, what could lead to real gains to the analyzed company. |
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Independent Journal of Management & Production |
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Demand forecasting: proposal of a model for a glass tempering industryDemand ForecastingQuantitative ModelsGlass TemperingThe given article aims to evaluate different quantitative demand forecast methods through a case study on a glass tempering company. The analysis were held based on historical data series, which allowed the use of a part of this data for method application and another part for comparison and validation of the model`s results. The methods were compared based on obtaining the mean absolute error. In the studied company, the raw material request for the suppliers was made when new orders are ordered (pulled production). This method results in longer responsiveness, mainly due to the waiting time of raw material arrival. The application of those different demand forecasting models were analysed over three types of products on the tempered glass category, which represents a total volume of 65% of the company's costs. As a result, two methods were better adapted to the real data, providing absolute errors between 0.25 and 0.29. This given work showed that the application of the demand forecasting methods would reduce orders delivery time, what could lead to real gains to the analyzed company.Independent2018-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmltext/xmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/80810.14807/ijmp.v9i5.808Independent Journal of Management & Production; Vol. 9 No. 5 (2018): Independent Journal of Management & Production (Special Edition); 716-7312236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/808/862http://www.ijmp.jor.br/index.php/ijmp/article/view/808/871http://www.ijmp.jor.br/index.php/ijmp/article/view/808/1639Copyright (c) 2018 Jéssica Arrais Martins, Jeferson Auto da Cruzinfo:eu-repo/semantics/openAccessMartins, Jéssica ArraisCruz, Jeferson Auto da2020-08-28T21:48:56Zoai:www.ijmp.jor.br:article/808Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2020-08-28T21:48:56Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false |
dc.title.none.fl_str_mv |
Demand forecasting: proposal of a model for a glass tempering industry |
title |
Demand forecasting: proposal of a model for a glass tempering industry |
spellingShingle |
Demand forecasting: proposal of a model for a glass tempering industry Martins, Jéssica Arrais Demand Forecasting Quantitative Models Glass Tempering |
title_short |
Demand forecasting: proposal of a model for a glass tempering industry |
title_full |
Demand forecasting: proposal of a model for a glass tempering industry |
title_fullStr |
Demand forecasting: proposal of a model for a glass tempering industry |
title_full_unstemmed |
Demand forecasting: proposal of a model for a glass tempering industry |
title_sort |
Demand forecasting: proposal of a model for a glass tempering industry |
author |
Martins, Jéssica Arrais |
author_facet |
Martins, Jéssica Arrais Cruz, Jeferson Auto da |
author_role |
author |
author2 |
Cruz, Jeferson Auto da |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Martins, Jéssica Arrais Cruz, Jeferson Auto da |
dc.subject.por.fl_str_mv |
Demand Forecasting Quantitative Models Glass Tempering |
topic |
Demand Forecasting Quantitative Models Glass Tempering |
description |
The given article aims to evaluate different quantitative demand forecast methods through a case study on a glass tempering company. The analysis were held based on historical data series, which allowed the use of a part of this data for method application and another part for comparison and validation of the model`s results. The methods were compared based on obtaining the mean absolute error. In the studied company, the raw material request for the suppliers was made when new orders are ordered (pulled production). This method results in longer responsiveness, mainly due to the waiting time of raw material arrival. The application of those different demand forecasting models were analysed over three types of products on the tempered glass category, which represents a total volume of 65% of the company's costs. As a result, two methods were better adapted to the real data, providing absolute errors between 0.25 and 0.29. This given work showed that the application of the demand forecasting methods would reduce orders delivery time, what could lead to real gains to the analyzed company. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-07-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.ijmp.jor.br/index.php/ijmp/article/view/808 10.14807/ijmp.v9i5.808 |
url |
http://www.ijmp.jor.br/index.php/ijmp/article/view/808 |
identifier_str_mv |
10.14807/ijmp.v9i5.808 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.ijmp.jor.br/index.php/ijmp/article/view/808/862 http://www.ijmp.jor.br/index.php/ijmp/article/view/808/871 http://www.ijmp.jor.br/index.php/ijmp/article/view/808/1639 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Jéssica Arrais Martins, Jeferson Auto da Cruz info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Jéssica Arrais Martins, Jeferson Auto da Cruz |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html text/xml |
dc.publisher.none.fl_str_mv |
Independent |
publisher.none.fl_str_mv |
Independent |
dc.source.none.fl_str_mv |
Independent Journal of Management & Production; Vol. 9 No. 5 (2018): Independent Journal of Management & Production (Special Edition); 716-731 2236-269X 2236-269X reponame:Independent Journal of Management & Production instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) instacron:IJM&P |
instname_str |
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) |
instacron_str |
IJM&P |
institution |
IJM&P |
reponame_str |
Independent Journal of Management & Production |
collection |
Independent Journal of Management & Production |
repository.name.fl_str_mv |
Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) |
repository.mail.fl_str_mv |
ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br|| |
_version_ |
1797220491803492352 |