PREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE

This paper aims to examine the meal demand forecasting in a University Dining Service (UDS) with short supply. The research derived from low productive capacity problems faced in some campus of the São Paulo State University (UNESP), which do not meet all demand. To estimate the pr...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Adriana Barbosa Santos, Melissa Galdino Martos, Julia Muchatte Trento, Natália Soares Janzantti
Formato:	article
Lenguaje:	ES PT
Publicado:	Universidade Federal de Santa Catarina 2017
Materias:	food services university management marketing research multiple regression quality management Education (General) L7-991 Special aspects of education LC8-6691
Acceso en línea:	https://doaj.org/article/8ab3f67fd6b74aa79342d2879c6339ed
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8ab3f67fd6b74aa79342d2879c6339ed
record_format	dspace
spelling	oai:doaj.org-article:8ab3f67fd6b74aa79342d2879c6339ed2021-11-11T15:49:48ZPREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE1983-4535https://doaj.org/article/8ab3f67fd6b74aa79342d2879c6339ed2017-01-01T00:00:00Zhttp://www.redalyc.org/articulo.oa?id=319351653011https://doaj.org/toc/1983-4535This paper aims to examine the meal demand forecasting in a University Dining Service (UDS) with short supply. The research derived from low productive capacity problems faced in some campus of the São Paulo State University (UNESP), which do not meet all demand. To estimate the proportion of people truly interested in the dining services and to calculate the surplus of non - service, it was suggested a design covering a combination of statistical techniques suc h as multiple regression analysis, diagnostic tests measurements, ROC curve, supported by a market research with quantitative approach. With the utilization of these techniques combination, it was analyzed information based on socioeconomic profiles, menu requirements, reason for eating in the UDS, and the food habits of 544 academic people. After analysis, it was estimated a surplus of 311 daily non - services (78% over than offer). Most UDS users are undergraduate students in vulnerable financial condition s for food and residence; which use the UDS because of price; living near the campus; and are moderately demanding about the menu. The conclusions reinforce the relevance of contextual information about the service user in the demand forecasting model aimi ng to increase the estimate accuracy of quantity of non - service.Adriana Barbosa SantosMelissa Galdino MartosJulia Muchatte TrentoNatália Soares JanzanttiUniversidade Federal de Santa Catarinaarticlefood servicesuniversity managementmarketing researchmultiple regressionquality managementEducation (General)L7-991Special aspects of educationLC8-6691ESPTRevista Gestão Universitária na América Latina , Vol 10, Iss 2, Pp 210-228 (2017)
institution	DOAJ
collection	DOAJ
language	ES PT
topic	food services university management marketing research multiple regression quality management Education (General) L7-991 Special aspects of education LC8-6691
spellingShingle	food services university management marketing research multiple regression quality management Education (General) L7-991 Special aspects of education LC8-6691 Adriana Barbosa Santos Melissa Galdino Martos Julia Muchatte Trento Natália Soares Janzantti PREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE
description	This paper aims to examine the meal demand forecasting in a University Dining Service (UDS) with short supply. The research derived from low productive capacity problems faced in some campus of the São Paulo State University (UNESP), which do not meet all demand. To estimate the proportion of people truly interested in the dining services and to calculate the surplus of non - service, it was suggested a design covering a combination of statistical techniques suc h as multiple regression analysis, diagnostic tests measurements, ROC curve, supported by a market research with quantitative approach. With the utilization of these techniques combination, it was analyzed information based on socioeconomic profiles, menu requirements, reason for eating in the UDS, and the food habits of 544 academic people. After analysis, it was estimated a surplus of 311 daily non - services (78% over than offer). Most UDS users are undergraduate students in vulnerable financial condition s for food and residence; which use the UDS because of price; living near the campus; and are moderately demanding about the menu. The conclusions reinforce the relevance of contextual information about the service user in the demand forecasting model aimi ng to increase the estimate accuracy of quantity of non - service.
format	article
author	Adriana Barbosa Santos Melissa Galdino Martos Julia Muchatte Trento Natália Soares Janzantti
author_facet	Adriana Barbosa Santos Melissa Galdino Martos Julia Muchatte Trento Natália Soares Janzantti
author_sort	Adriana Barbosa Santos
title	PREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE
title_short	PREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE
title_full	PREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE
title_fullStr	PREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE
title_full_unstemmed	PREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE
title_sort	previsão de demanda de refeições em restaurante universitário com oferta insuficiente
publisher	Universidade Federal de Santa Catarina
publishDate	2017
url	https://doaj.org/article/8ab3f67fd6b74aa79342d2879c6339ed
work_keys_str_mv	AT adrianabarbosasantos previsaodedemandaderefeicoesemrestauranteuniversitariocomofertainsuficiente AT melissagaldinomartos previsaodedemandaderefeicoesemrestauranteuniversitariocomofertainsuficiente AT juliamuchattetrento previsaodedemandaderefeicoesemrestauranteuniversitariocomofertainsuficiente AT nataliasoaresjanzantti previsaodedemandaderefeicoesemrestauranteuniversitariocomofertainsuficiente
_version_	1718433587521388544

PREVISÃO DE DEMANDA DE REFEIÇÕES EM RESTAURANTE UNIVERSITÁRIO COM OFERTA INSUFICIENTE

Ejemplares similares