Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian Company

Detalhes bibliográficos
Autor(a) principal: Da Veiga, Claudimar Pereira
Data de Publicação: 2013
Outros Autores: Da Veiga, Cássia Rita Pereira, Catapan, Anderson, Tortato, Ubiratã, Silva, Wesley Vieira Da
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: Future Studies Research Journal: Trends and Strategies
Texto Completo: https://www.revistafuture.org/FSRJ/article/view/142
Resumo: Demand forecasting plays an increasingly relevant role within competitive and globalized marketplaces, in as much as operations planning and subsequent transition into a sustainable chain of supplies, is concerned. To this effect, the purpose of this study is to present the application of demand forecasting as a strategic sustainability tool at a Brazilian SME. Therefore, this is a descriptive, ex-post facto and cross-cut, sectional time case study, which employs qualitative and historical quantitative and direct observational data and that utilizes, as both indicators of the level of service offered to consumers and of opportunity costs the artificial neural networks model and fill-rates, for demand forecasting and response purposes. The study further established cause-effect relationships between prediction accuracy, demand responsiveness and process-resulting economic, environmental and social performances. Findings additionally concurred with both widely acknowledged sustainability concepts - NRBV (Natural-Resource-Based View) and 3BL (Triple Bottom Line) - by demonstrating that demand forecasts ensure the efficient use of resources, improvements in customer responsiveness and also mitigate supply chain stock out and overstock losses. Further to the mentioned economic benefit, demand forecasting additionally reduced the amount of waste that arises from retail product shelf-life expiration, improving the addressing of demand itself and of customer satisfaction, thus driving consequent environmental and social gains.
id FIA-1_b48c0879b3fd15a00bd373f1e3ee07e8
oai_identifier_str oai:ojs.future.emnuvens.com.br:article/142
network_acronym_str FIA-1
network_name_str Future Studies Research Journal: Trends and Strategies
repository_id_str
spelling Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian CompanyPrevisão de demanda no varejo alimentício como ferramenta estratégica de sustentabilidade em uma pequena empresa brasileiraDemand forecasting. Sustainable supply chain. SustainabilityDemand forecasting plays an increasingly relevant role within competitive and globalized marketplaces, in as much as operations planning and subsequent transition into a sustainable chain of supplies, is concerned. To this effect, the purpose of this study is to present the application of demand forecasting as a strategic sustainability tool at a Brazilian SME. Therefore, this is a descriptive, ex-post facto and cross-cut, sectional time case study, which employs qualitative and historical quantitative and direct observational data and that utilizes, as both indicators of the level of service offered to consumers and of opportunity costs the artificial neural networks model and fill-rates, for demand forecasting and response purposes. The study further established cause-effect relationships between prediction accuracy, demand responsiveness and process-resulting economic, environmental and social performances. Findings additionally concurred with both widely acknowledged sustainability concepts - NRBV (Natural-Resource-Based View) and 3BL (Triple Bottom Line) - by demonstrating that demand forecasts ensure the efficient use of resources, improvements in customer responsiveness and also mitigate supply chain stock out and overstock losses. Further to the mentioned economic benefit, demand forecasting additionally reduced the amount of waste that arises from retail product shelf-life expiration, improving the addressing of demand itself and of customer satisfaction, thus driving consequent environmental and social gains.Em um mundo competitivo e globalizado, a previsão de demanda assume um importante papel para o planejamento das operações e na sua transição para uma cadeia de suprimentos sustentável. Neste sentido, o objetivo do presente trabalho é descrever a previsão de demanda como uma ferramenta estratégica de sustentabilidade aplicável a uma PME brasileira. Para a previsão de demanda utilizou-se o modelo de redes neurais artificiais e o fill rate como indicador do nível de serviço oferecido ao consumidor, assim como do custo de oportunidade em resposta à demanda. O estudo também estabeleceu relação de causa-efeito entre a acuracidade da previsão, a responsividade da demanda e o desempenho econômico, ambiental e social decorrentes do processo. Em concordância com os conceitos da VBRN e do 3BL, o estudo demonstrou que a previsão de demanda proporciona eficiência na utilização dos recursos, melhorias na responsividade do cliente e evita “perdas” por stock out e por overstock na cadeia de suprimentos. Além deste ganho econômico, a previsão de demanda reduz a quantidade de resíduos gerados pelo vencimento de produtos no varejo, melhora o atendimento da demanda e a satisfação do consumidor, com consequentes ganhos ambientais e sociais. Trata-se de um estudo de caso descritivo, ex-post facto e de corte temporal seccional, com utilização de dados qualitativos, dados quantitativos históricos e observação direta.Future Studies Research Journal: Trends and Strategies2013-12-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfapplication/pdfhttps://www.revistafuture.org/FSRJ/article/view/14210.24023/FutureJournal/2175-5825/2013.v5i2.142Future Studies Research Journal: Trends and Strategies; Vol. 5 No. 2 (2013): Future Studies Research Journal; 113-133Future Studies Research Journal: Trends and Strategies [FSRJ]; v. 5 n. 2 (2013): Future Studies Research Journal; 113-1332175-5825reponame:Future Studies Research Journal: Trends and Strategiesinstname:Fundação Instituto de Administração (FIA)instacron:FIAengporhttps://www.revistafuture.org/FSRJ/article/view/142/244https://www.revistafuture.org/FSRJ/article/view/142/238Copyright (c) 2014 Future Studies Research Journal: Trends and Strategiesinfo:eu-repo/semantics/openAccessDa Veiga, Claudimar PereiraDa Veiga, Cássia Rita PereiraCatapan, AndersonTortato, UbiratãSilva, Wesley Vieira Da2018-07-19T15:44:24Zoai:ojs.future.emnuvens.com.br:article/142Revistahttps://www.revistafuture.org/FSRJ/oai2175-58252175-5825opendoar:2018-07-19T15:44:24Future Studies Research Journal: Trends and Strategies - Fundação Instituto de Administração (FIA)false
dc.title.none.fl_str_mv Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian Company
Previsão de demanda no varejo alimentício como ferramenta estratégica de sustentabilidade em uma pequena empresa brasileira
title Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian Company
spellingShingle Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian Company
Da Veiga, Claudimar Pereira
Demand forecasting. Sustainable supply chain. Sustainability
title_short Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian Company
title_full Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian Company
title_fullStr Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian Company
title_full_unstemmed Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian Company
title_sort Demand Forecast at the Foodstuff Retail Segment: a Strategic Sustainability Tool at a Small-Sized Brazilian Company
author Da Veiga, Claudimar Pereira
author_facet Da Veiga, Claudimar Pereira
Da Veiga, Cássia Rita Pereira
Catapan, Anderson
Tortato, Ubiratã
Silva, Wesley Vieira Da
author_role author
author2 Da Veiga, Cássia Rita Pereira
Catapan, Anderson
Tortato, Ubiratã
Silva, Wesley Vieira Da
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Da Veiga, Claudimar Pereira
Da Veiga, Cássia Rita Pereira
Catapan, Anderson
Tortato, Ubiratã
Silva, Wesley Vieira Da
dc.subject.por.fl_str_mv Demand forecasting. Sustainable supply chain. Sustainability
topic Demand forecasting. Sustainable supply chain. Sustainability
description Demand forecasting plays an increasingly relevant role within competitive and globalized marketplaces, in as much as operations planning and subsequent transition into a sustainable chain of supplies, is concerned. To this effect, the purpose of this study is to present the application of demand forecasting as a strategic sustainability tool at a Brazilian SME. Therefore, this is a descriptive, ex-post facto and cross-cut, sectional time case study, which employs qualitative and historical quantitative and direct observational data and that utilizes, as both indicators of the level of service offered to consumers and of opportunity costs the artificial neural networks model and fill-rates, for demand forecasting and response purposes. The study further established cause-effect relationships between prediction accuracy, demand responsiveness and process-resulting economic, environmental and social performances. Findings additionally concurred with both widely acknowledged sustainability concepts - NRBV (Natural-Resource-Based View) and 3BL (Triple Bottom Line) - by demonstrating that demand forecasts ensure the efficient use of resources, improvements in customer responsiveness and also mitigate supply chain stock out and overstock losses. Further to the mentioned economic benefit, demand forecasting additionally reduced the amount of waste that arises from retail product shelf-life expiration, improving the addressing of demand itself and of customer satisfaction, thus driving consequent environmental and social gains.
publishDate 2013
dc.date.none.fl_str_mv 2013-12-11
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistafuture.org/FSRJ/article/view/142
10.24023/FutureJournal/2175-5825/2013.v5i2.142
url https://www.revistafuture.org/FSRJ/article/view/142
identifier_str_mv 10.24023/FutureJournal/2175-5825/2013.v5i2.142
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv https://www.revistafuture.org/FSRJ/article/view/142/244
https://www.revistafuture.org/FSRJ/article/view/142/238
dc.rights.driver.fl_str_mv Copyright (c) 2014 Future Studies Research Journal: Trends and Strategies
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 Future Studies Research Journal: Trends and Strategies
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Future Studies Research Journal: Trends and Strategies
publisher.none.fl_str_mv Future Studies Research Journal: Trends and Strategies
dc.source.none.fl_str_mv Future Studies Research Journal: Trends and Strategies; Vol. 5 No. 2 (2013): Future Studies Research Journal; 113-133
Future Studies Research Journal: Trends and Strategies [FSRJ]; v. 5 n. 2 (2013): Future Studies Research Journal; 113-133
2175-5825
reponame:Future Studies Research Journal: Trends and Strategies
instname:Fundação Instituto de Administração (FIA)
instacron:FIA
instname_str Fundação Instituto de Administração (FIA)
instacron_str FIA
institution FIA
reponame_str Future Studies Research Journal: Trends and Strategies
collection Future Studies Research Journal: Trends and Strategies
repository.name.fl_str_mv Future Studies Research Journal: Trends and Strategies - Fundação Instituto de Administração (FIA)
repository.mail.fl_str_mv
_version_ 1798045835411324928