Application of queuing theory to a fast food outfit: a study of blue meadows restaurant
Autor(a) principal: | |
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Data de Publicação: | 2017 |
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/576 |
Resumo: | The study evaluated the queuing system in Blue Meadows restaurant with a view to determining its operating characteristics and to improve customers’ satisfaction during waiting time using the lens of queuing theory. Data was obtained from a fast food restaurant in the University of Benin. The data collected was tested to show if it follows a Poisson and exponential distribution of arrival and service rate using chi square goodness of fit. A 95% confidence interval level was used to show the range of customers that come into the system at an hour time frame and the range of customers served at an hour time frame. Using the M/M/s model, the arrival rate, service rate, utilization rate, waiting time in the queue and the probability of customers likely balking from the restaurant was derived. The arrival rate (λ) at Blue Meadows restaurant was about 40 customers per hour, while the service rate was about 22 customers per hour per server. The number of servers present in the system was two. The average number of customers in the system in an hour window was 40 customers with a utilization rate of 0.909. The paper concludes with a discussion on the benefits of performing queuing analysis to a restaurant. |
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Independent Journal of Management & Production |
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Application of queuing theory to a fast food outfit: a study of blue meadows restaurantqueuing theoryPoisson distributionservice ratecustomer satisfactionfast food outfitBlue Meadows RestaurantThe study evaluated the queuing system in Blue Meadows restaurant with a view to determining its operating characteristics and to improve customers’ satisfaction during waiting time using the lens of queuing theory. Data was obtained from a fast food restaurant in the University of Benin. The data collected was tested to show if it follows a Poisson and exponential distribution of arrival and service rate using chi square goodness of fit. A 95% confidence interval level was used to show the range of customers that come into the system at an hour time frame and the range of customers served at an hour time frame. Using the M/M/s model, the arrival rate, service rate, utilization rate, waiting time in the queue and the probability of customers likely balking from the restaurant was derived. The arrival rate (λ) at Blue Meadows restaurant was about 40 customers per hour, while the service rate was about 22 customers per hour per server. The number of servers present in the system was two. The average number of customers in the system in an hour window was 40 customers with a utilization rate of 0.909. The paper concludes with a discussion on the benefits of performing queuing analysis to a restaurant.Independent2017-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/57610.14807/ijmp.v8i2.576Independent Journal of Management & Production; Vol. 8 No. 2 (2017): Independent Journal of Management & Production; 441-4582236-269X2236-269Xreponame: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/576/664http://www.ijmp.jor.br/index.php/ijmp/article/view/576/683Copyright (c) 2017 Seigha Gumus, Gordon Monday Bubouinfo:eu-repo/semantics/openAccessGumus, SeighaBubou, Gordon MondayOladeinde, Mobolaji Humphrey2018-09-04T13:01:55Zoai:www.ijmp.jor.br:article/576Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2018-09-04T13:01:55Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false |
dc.title.none.fl_str_mv |
Application of queuing theory to a fast food outfit: a study of blue meadows restaurant |
title |
Application of queuing theory to a fast food outfit: a study of blue meadows restaurant |
spellingShingle |
Application of queuing theory to a fast food outfit: a study of blue meadows restaurant Gumus, Seigha queuing theory Poisson distribution service rate customer satisfaction fast food outfit Blue Meadows Restaurant |
title_short |
Application of queuing theory to a fast food outfit: a study of blue meadows restaurant |
title_full |
Application of queuing theory to a fast food outfit: a study of blue meadows restaurant |
title_fullStr |
Application of queuing theory to a fast food outfit: a study of blue meadows restaurant |
title_full_unstemmed |
Application of queuing theory to a fast food outfit: a study of blue meadows restaurant |
title_sort |
Application of queuing theory to a fast food outfit: a study of blue meadows restaurant |
author |
Gumus, Seigha |
author_facet |
Gumus, Seigha Bubou, Gordon Monday Oladeinde, Mobolaji Humphrey |
author_role |
author |
author2 |
Bubou, Gordon Monday Oladeinde, Mobolaji Humphrey |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Gumus, Seigha Bubou, Gordon Monday Oladeinde, Mobolaji Humphrey |
dc.subject.por.fl_str_mv |
queuing theory Poisson distribution service rate customer satisfaction fast food outfit Blue Meadows Restaurant |
topic |
queuing theory Poisson distribution service rate customer satisfaction fast food outfit Blue Meadows Restaurant |
description |
The study evaluated the queuing system in Blue Meadows restaurant with a view to determining its operating characteristics and to improve customers’ satisfaction during waiting time using the lens of queuing theory. Data was obtained from a fast food restaurant in the University of Benin. The data collected was tested to show if it follows a Poisson and exponential distribution of arrival and service rate using chi square goodness of fit. A 95% confidence interval level was used to show the range of customers that come into the system at an hour time frame and the range of customers served at an hour time frame. Using the M/M/s model, the arrival rate, service rate, utilization rate, waiting time in the queue and the probability of customers likely balking from the restaurant was derived. The arrival rate (λ) at Blue Meadows restaurant was about 40 customers per hour, while the service rate was about 22 customers per hour per server. The number of servers present in the system was two. The average number of customers in the system in an hour window was 40 customers with a utilization rate of 0.909. The paper concludes with a discussion on the benefits of performing queuing analysis to a restaurant. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-01 |
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/576 10.14807/ijmp.v8i2.576 |
url |
http://www.ijmp.jor.br/index.php/ijmp/article/view/576 |
identifier_str_mv |
10.14807/ijmp.v8i2.576 |
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/576/664 http://www.ijmp.jor.br/index.php/ijmp/article/view/576/683 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Seigha Gumus, Gordon Monday Bubou info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Seigha Gumus, Gordon Monday Bubou |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
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. 8 No. 2 (2017): Independent Journal of Management & Production; 441-458 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_ |
1797220491055857664 |