Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood Industry
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/163026 |
Resumo: | Data-driven pricing and demand forecasting gained popularity with increasing data availability. Start-ups encounter high uncertainty due to a lack of internal data before market entry. For the market entry in the Iberian Peninsula of Oceano Fresco, a sustainable seafood start-up, the market of clams with its demand and supply factors are analyzed based on a publicly available database. Demand is forecasted with an ARIMA model, and monthly profit is maximized with a Newsvendor Model. Two managerial Excel dashboards are created to illustrate the latest developments on the clam market and offer a monthly production planning tool. |
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Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood IndustryDemand forecastingNewsvendor modellSalesPricesDataDomínio/Área Científica::Ciências Sociais::Economia e GestãoData-driven pricing and demand forecasting gained popularity with increasing data availability. Start-ups encounter high uncertainty due to a lack of internal data before market entry. For the market entry in the Iberian Peninsula of Oceano Fresco, a sustainable seafood start-up, the market of clams with its demand and supply factors are analyzed based on a publicly available database. Demand is forecasted with an ARIMA model, and monthly profit is maximized with a Newsvendor Model. Two managerial Excel dashboards are created to illustrate the latest developments on the clam market and offer a monthly production planning tool.Gardete, Pedro M.RUNKolloge, Niklas2023-01-192022-12-132027-12-13T00:00:00Z2023-01-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttp://hdl.handle.net/10362/163026TID:203314530enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:46:05Zoai:run.unl.pt:10362/163026Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:59:14.096091Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood Industry |
title |
Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood Industry |
spellingShingle |
Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood Industry Kolloge, Niklas Demand forecasting Newsvendor modell Sales Prices Data Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood Industry |
title_full |
Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood Industry |
title_fullStr |
Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood Industry |
title_full_unstemmed |
Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood Industry |
title_sort |
Maximizing profit through optimal inventory management with the newsvendor model: A Case Study In The Fresh Seafood Industry |
author |
Kolloge, Niklas |
author_facet |
Kolloge, Niklas |
author_role |
author |
dc.contributor.none.fl_str_mv |
Gardete, Pedro M. RUN |
dc.contributor.author.fl_str_mv |
Kolloge, Niklas |
dc.subject.por.fl_str_mv |
Demand forecasting Newsvendor modell Sales Prices Data Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Demand forecasting Newsvendor modell Sales Prices Data Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
Data-driven pricing and demand forecasting gained popularity with increasing data availability. Start-ups encounter high uncertainty due to a lack of internal data before market entry. For the market entry in the Iberian Peninsula of Oceano Fresco, a sustainable seafood start-up, the market of clams with its demand and supply factors are analyzed based on a publicly available database. Demand is forecasted with an ARIMA model, and monthly profit is maximized with a Newsvendor Model. Two managerial Excel dashboards are created to illustrate the latest developments on the clam market and offer a monthly production planning tool. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-13 2023-01-19 2023-01-19T00:00:00Z 2027-12-13T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/163026 TID:203314530 |
url |
http://hdl.handle.net/10362/163026 |
identifier_str_mv |
TID:203314530 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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embargoedAccess |
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application/vnd.openxmlformats-officedocument.wordprocessingml.document |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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