Applying operational research in the context of a beauty services micro enterprise
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Produção Online |
Texto Completo: | https://www.producaoonline.org.br/rpo/article/view/4401 |
Resumo: | This article uses Operational Research to maximize profits and improve decision making in a beauty services microenterprise by applying linear programming. The research is classified as applied, exploratory and quantitative through a case study. Data collection was performed through interviews to identify decision variables, objective function and system constraints. The model was inserted into an electronic spreadsheet with resolution using Solver. Decision variables were defined as the amount of each of the different services performed. The identified restrictions concern the opening hours, opening hours, service to the loyal clientele, limitation of labour, and maximum service demands. The optimal solution showed that the company's monthly revenue could increase by 206%. It is recommended to maintain or improve the maximum demands of services whose restrictions do not have slack, achieve demand for idle hours, and reassess the price of non-basic variables. The research demonstrated the relevance of applying PO in micro and small businesses and the financial impact. |
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Applying operational research in the context of a beauty services micro enterpriseAplicando pesquisa operacional no contexto de uma microempresa de serviços de belezaPesquisa OperacionalProgramação LinearSolverMicroempresasEstudo de casoOperational researchLinear ProgrammingSolverMicroenterprisesCase studyThis article uses Operational Research to maximize profits and improve decision making in a beauty services microenterprise by applying linear programming. The research is classified as applied, exploratory and quantitative through a case study. Data collection was performed through interviews to identify decision variables, objective function and system constraints. The model was inserted into an electronic spreadsheet with resolution using Solver. Decision variables were defined as the amount of each of the different services performed. The identified restrictions concern the opening hours, opening hours, service to the loyal clientele, limitation of labour, and maximum service demands. The optimal solution showed that the company's monthly revenue could increase by 206%. It is recommended to maintain or improve the maximum demands of services whose restrictions do not have slack, achieve demand for idle hours, and reassess the price of non-basic variables. The research demonstrated the relevance of applying PO in micro and small businesses and the financial impact.Este artigo utiliza a Pesquisa Operacional para a maximização de lucros e melhoria da tomada de decisão em uma microempresa de serviços de beleza através da aplicação de programação linear. A pesquisa classifica-se como aplicada, exploratória e quantitativa por meio de estudo de caso. A coleta dos dados foi realizada através de entrevista para identificar as variáveis de decisão, função objetivo e restrições do sistema. O modelo foi inserido em planilha eletrônica com resolução através do Solver. As variáveis de decisão foram definidas como a quantidade de cada um dos diferentes serviços a serem realizados. As restrições identificadas dizem respeito ao horário de funcionamento, horário inicial, atendimento da clientela fiel, limitação da mão de obra e demandas máximas de cada serviço. A solução ótima mostrou que a receita mensal da empresa pode aumentar em 206%. Recomenda-se manter ou aumentar as demandas máximas dos serviços cujas restrições não têm folga, conseguir demanda para o horário ocioso e reavaliar o preço dos serviços das variáveis não básicas. A pesquisa demonstrou a relevância da aplicação de PO em micro e pequenas empresas, e o impacto financeiro que podem produzir.Associação Brasileira de Engenharia de Produção2023-01-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfaudio/mpeghttps://www.producaoonline.org.br/rpo/article/view/440110.14488/1676-1901.v22i1.4401Revista Produção Online; Vol. 22 No. 1 (2022); 2209-2234Revista Produção Online; v. 22 n. 1 (2022); 2209-22341676-1901reponame:Revista Produção Onlineinstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROporhttps://www.producaoonline.org.br/rpo/article/view/4401/2133https://www.producaoonline.org.br/rpo/article/view/4401/2135Copyright (c) 2023 Revista Produção Onlinehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRamos, Pamela AdelinoMelo, Marina Fonseca Martins deGonçalves, Helen Silva2023-01-15T15:35:24Zoai:ojs.emnuvens.com.br:article/4401Revistahttp://producaoonline.org.br/rpoPUBhttps://www.producaoonline.org.br/rpo/oai||producaoonline@gmail.com1676-19011676-1901opendoar:2023-01-15T15:35:24Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Applying operational research in the context of a beauty services micro enterprise Aplicando pesquisa operacional no contexto de uma microempresa de serviços de beleza |
title |
Applying operational research in the context of a beauty services micro enterprise |
spellingShingle |
Applying operational research in the context of a beauty services micro enterprise Ramos, Pamela Adelino Pesquisa Operacional Programação Linear Solver Microempresas Estudo de caso Operational research Linear Programming Solver Microenterprises Case study |
title_short |
Applying operational research in the context of a beauty services micro enterprise |
title_full |
Applying operational research in the context of a beauty services micro enterprise |
title_fullStr |
Applying operational research in the context of a beauty services micro enterprise |
title_full_unstemmed |
Applying operational research in the context of a beauty services micro enterprise |
title_sort |
Applying operational research in the context of a beauty services micro enterprise |
author |
Ramos, Pamela Adelino |
author_facet |
Ramos, Pamela Adelino Melo, Marina Fonseca Martins de Gonçalves, Helen Silva |
author_role |
author |
author2 |
Melo, Marina Fonseca Martins de Gonçalves, Helen Silva |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ramos, Pamela Adelino Melo, Marina Fonseca Martins de Gonçalves, Helen Silva |
dc.subject.por.fl_str_mv |
Pesquisa Operacional Programação Linear Solver Microempresas Estudo de caso Operational research Linear Programming Solver Microenterprises Case study |
topic |
Pesquisa Operacional Programação Linear Solver Microempresas Estudo de caso Operational research Linear Programming Solver Microenterprises Case study |
description |
This article uses Operational Research to maximize profits and improve decision making in a beauty services microenterprise by applying linear programming. The research is classified as applied, exploratory and quantitative through a case study. Data collection was performed through interviews to identify decision variables, objective function and system constraints. The model was inserted into an electronic spreadsheet with resolution using Solver. Decision variables were defined as the amount of each of the different services performed. The identified restrictions concern the opening hours, opening hours, service to the loyal clientele, limitation of labour, and maximum service demands. The optimal solution showed that the company's monthly revenue could increase by 206%. It is recommended to maintain or improve the maximum demands of services whose restrictions do not have slack, achieve demand for idle hours, and reassess the price of non-basic variables. The research demonstrated the relevance of applying PO in micro and small businesses and the financial impact. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-01-15 |
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 |
https://www.producaoonline.org.br/rpo/article/view/4401 10.14488/1676-1901.v22i1.4401 |
url |
https://www.producaoonline.org.br/rpo/article/view/4401 |
identifier_str_mv |
10.14488/1676-1901.v22i1.4401 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.producaoonline.org.br/rpo/article/view/4401/2133 https://www.producaoonline.org.br/rpo/article/view/4401/2135 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Revista Produção Online https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Revista Produção Online https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf audio/mpeg |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
dc.source.none.fl_str_mv |
Revista Produção Online; Vol. 22 No. 1 (2022); 2209-2234 Revista Produção Online; v. 22 n. 1 (2022); 2209-2234 1676-1901 reponame:Revista Produção Online instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Revista Produção Online |
collection |
Revista Produção Online |
repository.name.fl_str_mv |
Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
||producaoonline@gmail.com |
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1761536951914070016 |