Study of queues and qualitative analysis of the performance of a university restaurant
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Sistemas & Gestão |
Texto Completo: | https://www.revistasg.uff.br/sg/article/view/1154 |
Resumo: | The verification of the performance of in-service operations may assist in indicating opportunities for improvement of these operations. In this context, the objective of this article is to verify the level of service of a production operation (university restaurant) on a scale of 0% to 100% according to five performance objectives: service quality, product quality, product flexibility, product cost, and queue system performance. In order to achieve the proposed goal, a four-stage procedure was structured. These steps involve (1) the definition of the application site and its characteristics, (2) the collection of quantitative data in the field and definition of the operational characteristics of the queue, (3) definition and collection of qualitative field data and tabulation of those data, besides (4) analysis of the qualitative data and operational characteristics of the queue. In general, the quality of service, the quality of the product and the flexibility of the product stood out with low level of dissatisfaction. In the case of queuing system performance, there is opportunity for improvement because the actual average wait time is higher than the time that respondents find appropriate to wait in the queue. Another point of improvement is the cost of the product, with an ideal reduction of this value by 33%, according to respondents. |
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Study of queues and qualitative analysis of the performance of a university restaurantEstudo de filas e análise qualitativa do desempenho de um restaurante universitárioOperationsQueue theoryService levelPerformance levelOperaçõesTeoria das filasNível de serviçoNível de desempenhoThe verification of the performance of in-service operations may assist in indicating opportunities for improvement of these operations. In this context, the objective of this article is to verify the level of service of a production operation (university restaurant) on a scale of 0% to 100% according to five performance objectives: service quality, product quality, product flexibility, product cost, and queue system performance. In order to achieve the proposed goal, a four-stage procedure was structured. These steps involve (1) the definition of the application site and its characteristics, (2) the collection of quantitative data in the field and definition of the operational characteristics of the queue, (3) definition and collection of qualitative field data and tabulation of those data, besides (4) analysis of the qualitative data and operational characteristics of the queue. In general, the quality of service, the quality of the product and the flexibility of the product stood out with low level of dissatisfaction. In the case of queuing system performance, there is opportunity for improvement because the actual average wait time is higher than the time that respondents find appropriate to wait in the queue. Another point of improvement is the cost of the product, with an ideal reduction of this value by 33%, according to respondents.Verificar o desempenho de operações em serviço pode auxiliar na indicação de oportunidades de melhoria dessas operações. Neste contexto, o presente artigo tem o objetivo de verificar em uma escala de 0% a 100% o nível de serviço de uma operação de produção (restaurante universitário) segundo cinco objetivos de desempenho: qualidade do serviço, qualidade do produto, flexibilidade do produto, custo do produto e desempenho do sistema de filas. Para alcançar o objetivo proposto, estruturou-se um procedimento composto por quatro etapas. Essas etapas envolvem (1) a definição do local de aplicação e suas características, (2) a coleta de dados quantitativos em campo e definição das características operacionais da fila, (3) a definição e a coleta de dados qualitativos em campo e tabulação desses dados, além da (4) análise dos dados qualitativos e características operacionais da fila. De um modo geral, a qualidade do serviço, a qualidade do produto e a flexibilidade do produto se destacaram com baixo nível de insatisfação. No caso do desempenho do sistema de filas, há oportunidade de melhoria, pois o tempo real médio de espera é superior ao tempo que os respondentes acham adequado para esperar na fila. Outro ponto de melhoria é o custo do produto, com redução ideal deste valor em 33%, segundo os respondentes.ABEC2018-06-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Empírica de Campo; Entrevista Controladatext/htmltext/htmlapplication/pdfapplication/pdfhttps://www.revistasg.uff.br/sg/article/view/115410.20985/1980-5160.2018.v13n2.1154Sistemas & Gestão; v. 13 n. 2 (2018): JUN 2018; 130-1401980-516010.20985/1980-5160.2018.v13n2reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporenghttps://www.revistasg.uff.br/sg/article/view/1154/850https://www.revistasg.uff.br/sg/article/view/1154/852https://www.revistasg.uff.br/sg/article/view/1154/848https://www.revistasg.uff.br/sg/article/view/1154/849Copyright (c) 2018 Sistemas & Gestãoinfo:eu-repo/semantics/openAccessda Silva Guabiroba, Ricardo CésarSoares Paggioro Penna, GuilhermeLima Silva, Carolineda Silva Lima, Amanda Cristina2020-05-29T17:19:54Zoai:ojs.www.revistasg.uff.br:article/1154Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2020-05-29T17:19:54Sistemas & Gestão - Universidade Federal Fluminense (UFF)false |
dc.title.none.fl_str_mv |
Study of queues and qualitative analysis of the performance of a university restaurant Estudo de filas e análise qualitativa do desempenho de um restaurante universitário |
title |
Study of queues and qualitative analysis of the performance of a university restaurant |
spellingShingle |
Study of queues and qualitative analysis of the performance of a university restaurant da Silva Guabiroba, Ricardo César Operations Queue theory Service level Performance level Operações Teoria das filas Nível de serviço Nível de desempenho |
title_short |
Study of queues and qualitative analysis of the performance of a university restaurant |
title_full |
Study of queues and qualitative analysis of the performance of a university restaurant |
title_fullStr |
Study of queues and qualitative analysis of the performance of a university restaurant |
title_full_unstemmed |
Study of queues and qualitative analysis of the performance of a university restaurant |
title_sort |
Study of queues and qualitative analysis of the performance of a university restaurant |
author |
da Silva Guabiroba, Ricardo César |
author_facet |
da Silva Guabiroba, Ricardo César Soares Paggioro Penna, Guilherme Lima Silva, Caroline da Silva Lima, Amanda Cristina |
author_role |
author |
author2 |
Soares Paggioro Penna, Guilherme Lima Silva, Caroline da Silva Lima, Amanda Cristina |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
da Silva Guabiroba, Ricardo César Soares Paggioro Penna, Guilherme Lima Silva, Caroline da Silva Lima, Amanda Cristina |
dc.subject.por.fl_str_mv |
Operations Queue theory Service level Performance level Operações Teoria das filas Nível de serviço Nível de desempenho |
topic |
Operations Queue theory Service level Performance level Operações Teoria das filas Nível de serviço Nível de desempenho |
description |
The verification of the performance of in-service operations may assist in indicating opportunities for improvement of these operations. In this context, the objective of this article is to verify the level of service of a production operation (university restaurant) on a scale of 0% to 100% according to five performance objectives: service quality, product quality, product flexibility, product cost, and queue system performance. In order to achieve the proposed goal, a four-stage procedure was structured. These steps involve (1) the definition of the application site and its characteristics, (2) the collection of quantitative data in the field and definition of the operational characteristics of the queue, (3) definition and collection of qualitative field data and tabulation of those data, besides (4) analysis of the qualitative data and operational characteristics of the queue. In general, the quality of service, the quality of the product and the flexibility of the product stood out with low level of dissatisfaction. In the case of queuing system performance, there is opportunity for improvement because the actual average wait time is higher than the time that respondents find appropriate to wait in the queue. Another point of improvement is the cost of the product, with an ideal reduction of this value by 33%, according to respondents. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-03 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pesquisa Empírica de Campo; Entrevista Controlada |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1154 10.20985/1980-5160.2018.v13n2.1154 |
url |
https://www.revistasg.uff.br/sg/article/view/1154 |
identifier_str_mv |
10.20985/1980-5160.2018.v13n2.1154 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1154/850 https://www.revistasg.uff.br/sg/article/view/1154/852 https://www.revistasg.uff.br/sg/article/view/1154/848 https://www.revistasg.uff.br/sg/article/view/1154/849 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Sistemas & Gestão info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Sistemas & Gestão |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html text/html application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
ABEC |
publisher.none.fl_str_mv |
ABEC |
dc.source.none.fl_str_mv |
Sistemas & Gestão; v. 13 n. 2 (2018): JUN 2018; 130-140 1980-5160 10.20985/1980-5160.2018.v13n2 reponame:Sistemas & Gestão instname:Universidade Federal Fluminense (UFF) instacron:UFF |
instname_str |
Universidade Federal Fluminense (UFF) |
instacron_str |
UFF |
institution |
UFF |
reponame_str |
Sistemas & Gestão |
collection |
Sistemas & Gestão |
repository.name.fl_str_mv |
Sistemas & Gestão - Universidade Federal Fluminense (UFF) |
repository.mail.fl_str_mv |
||sg.revista@gmail.com|| periodicos@proppi.uff.br |
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1798320144403922944 |