Unveiling undergraduate production engineering students' comprehension of process flow measures
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Production |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100224 |
Resumo: | Abstract Paper aims This study analyzes the comprehension of production engineering students about the influence of some key variables on the process performance measures in a service process. Originality This paper points out the need for educators to re-evaluate their approaches to teaching the Operations Management (OM) principles related to process flow measures. Research method This study used scenario-based role-playing experiments with 2×2×2 between-subject factorial design with three independent variables (variability of activities, capacity utilization, and resource pooling) and four dependent variables related to key internal process performance measures (Flow Time, Overall Quality of service, Quality of service employees, and Queue Size). The sample was composed of 178 undergraduate production engineering students from a large university in Brazil from various institution units. Main findings These results show that students perceived the use of resource pooling as an impactful practice. However, the students did not correctly identify the effects of increasing resource utilization and the variability on flow time and queue size when activities are pooled. Implications for theory and practice The teaching of basic concepts of OM requires the support of computational tools. Undergraduate courses that contemplate subjects in the field of OM should work more intensely on simulation-based learning. |
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Unveiling undergraduate production engineering students' comprehension of process flow measuresOperations managementProcess flow measuresLearningScenario-Based ExperimentAbstract Paper aims This study analyzes the comprehension of production engineering students about the influence of some key variables on the process performance measures in a service process. Originality This paper points out the need for educators to re-evaluate their approaches to teaching the Operations Management (OM) principles related to process flow measures. Research method This study used scenario-based role-playing experiments with 2×2×2 between-subject factorial design with three independent variables (variability of activities, capacity utilization, and resource pooling) and four dependent variables related to key internal process performance measures (Flow Time, Overall Quality of service, Quality of service employees, and Queue Size). The sample was composed of 178 undergraduate production engineering students from a large university in Brazil from various institution units. Main findings These results show that students perceived the use of resource pooling as an impactful practice. However, the students did not correctly identify the effects of increasing resource utilization and the variability on flow time and queue size when activities are pooled. Implications for theory and practice The teaching of basic concepts of OM requires the support of computational tools. Undergraduate courses that contemplate subjects in the field of OM should work more intensely on simulation-based learning.Associação Brasileira de Engenharia de Produção2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100224Production v.32 2022reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20220020info:eu-repo/semantics/openAccessTorres Júnior,NoelAzevedo,Américo Lopes deSimões,Ana CorreiaLadeira,Marcelo BronzoSousa,Paulo Renato deFreitas,Lauro Soares deeng2022-09-05T00:00:00Zoai:scielo:S0103-65132022000100224Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2022-09-05T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Unveiling undergraduate production engineering students' comprehension of process flow measures |
title |
Unveiling undergraduate production engineering students' comprehension of process flow measures |
spellingShingle |
Unveiling undergraduate production engineering students' comprehension of process flow measures Torres Júnior,Noel Operations management Process flow measures Learning Scenario-Based Experiment |
title_short |
Unveiling undergraduate production engineering students' comprehension of process flow measures |
title_full |
Unveiling undergraduate production engineering students' comprehension of process flow measures |
title_fullStr |
Unveiling undergraduate production engineering students' comprehension of process flow measures |
title_full_unstemmed |
Unveiling undergraduate production engineering students' comprehension of process flow measures |
title_sort |
Unveiling undergraduate production engineering students' comprehension of process flow measures |
author |
Torres Júnior,Noel |
author_facet |
Torres Júnior,Noel Azevedo,Américo Lopes de Simões,Ana Correia Ladeira,Marcelo Bronzo Sousa,Paulo Renato de Freitas,Lauro Soares de |
author_role |
author |
author2 |
Azevedo,Américo Lopes de Simões,Ana Correia Ladeira,Marcelo Bronzo Sousa,Paulo Renato de Freitas,Lauro Soares de |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Torres Júnior,Noel Azevedo,Américo Lopes de Simões,Ana Correia Ladeira,Marcelo Bronzo Sousa,Paulo Renato de Freitas,Lauro Soares de |
dc.subject.por.fl_str_mv |
Operations management Process flow measures Learning Scenario-Based Experiment |
topic |
Operations management Process flow measures Learning Scenario-Based Experiment |
description |
Abstract Paper aims This study analyzes the comprehension of production engineering students about the influence of some key variables on the process performance measures in a service process. Originality This paper points out the need for educators to re-evaluate their approaches to teaching the Operations Management (OM) principles related to process flow measures. Research method This study used scenario-based role-playing experiments with 2×2×2 between-subject factorial design with three independent variables (variability of activities, capacity utilization, and resource pooling) and four dependent variables related to key internal process performance measures (Flow Time, Overall Quality of service, Quality of service employees, and Queue Size). The sample was composed of 178 undergraduate production engineering students from a large university in Brazil from various institution units. Main findings These results show that students perceived the use of resource pooling as an impactful practice. However, the students did not correctly identify the effects of increasing resource utilization and the variability on flow time and queue size when activities are pooled. Implications for theory and practice The teaching of basic concepts of OM requires the support of computational tools. Undergraduate courses that contemplate subjects in the field of OM should work more intensely on simulation-based learning. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100224 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100224 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-6513.20220020 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 |
Production v.32 2022 reponame:Production 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 |
Production |
collection |
Production |
repository.name.fl_str_mv |
Production - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
||production@editoracubo.com.br |
_version_ |
1754213154876817408 |