Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturing
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/1406 |
Resumo: | Goal: In-plant logistics activities are important for increasing the performance of the supply chains, so our research aims to study the application of Six Sigma tools for in-plant logistics activities in the cement industry. Our research contributes to the literature by developing a real case study that provides insights into the practical implementation of continuous improvement programs. Design / Methodology / Approach: This study uses the Industrial Case Study in a large cement plant, a branch of a multinational business group, in Brazil’s Middle-west region. This research applies Define, Measure, Analyze, Improve, Control (DMAIC) guidelines with Statistical Process Control tools for solving a real problem for out-control processes. From this, we propose an improvement plan to correct flaws in the in-plant cement loading and unloading process (in-plant logistics). Results: The results suggest that based on the control chart, the studied in-plant logistics activities were out of control. These processes exhibit a high variability, between 3σ and 5σ, presenting 26 problems with causes related to machine, measure, and human resources. An out-control action plan was proposed aiming for improvements to solve these problems. Limitations of the investigation: On the out-control action plan, this study presents an improvement proposal. The action plan does not fully develop the control step for DMAIC. Practical implications: Managers in the cement industry can use our case for insights and learning about improvement programs, especially for the in-plant logistics activities addressing processing-based manufacturing environments. Originality / Value: Our research contributes a real case study that applies the DMAIC methodology, with a specific focus on in-plant logistics activities. By developing the application of improvement programs within the cement industry, our study offers practical insights into how processing industries can effectively implement such programs. |
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Brazilian Journal of Operations & Production Management (Online) |
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Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturingCement industryStatistical process controlContinuous improvementDMAICSix Sigma LogisticsGoal: In-plant logistics activities are important for increasing the performance of the supply chains, so our research aims to study the application of Six Sigma tools for in-plant logistics activities in the cement industry. Our research contributes to the literature by developing a real case study that provides insights into the practical implementation of continuous improvement programs. Design / Methodology / Approach: This study uses the Industrial Case Study in a large cement plant, a branch of a multinational business group, in Brazil’s Middle-west region. This research applies Define, Measure, Analyze, Improve, Control (DMAIC) guidelines with Statistical Process Control tools for solving a real problem for out-control processes. From this, we propose an improvement plan to correct flaws in the in-plant cement loading and unloading process (in-plant logistics). Results: The results suggest that based on the control chart, the studied in-plant logistics activities were out of control. These processes exhibit a high variability, between 3σ and 5σ, presenting 26 problems with causes related to machine, measure, and human resources. An out-control action plan was proposed aiming for improvements to solve these problems. Limitations of the investigation: On the out-control action plan, this study presents an improvement proposal. The action plan does not fully develop the control step for DMAIC. Practical implications: Managers in the cement industry can use our case for insights and learning about improvement programs, especially for the in-plant logistics activities addressing processing-based manufacturing environments. Originality / Value: Our research contributes a real case study that applies the DMAIC methodology, with a specific focus on in-plant logistics activities. By developing the application of improvement programs within the cement industry, our study offers practical insights into how processing industries can effectively implement such programs.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2023-11-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionCase studyapplication/pdfhttps://bjopm.org.br/bjopm/article/view/140610.14488/BJOPM.1406.2023Brazilian Journal of Operations & Production Management; Vol. 20 No. 4 (2023); 1406 2237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/1406/1060Copyright (c) 2023 Sérgio de Andrade Bonetti, Adauto Bueno, Rodolfo Benedito Zattar da Silva, Fernando José Gómez Paredes, Débora Biancohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBonetti, Sérgio de AndradeBueno, AdautoSilva, Rodolfo Benedito Zattar daParedes, Fernando José GómezBianco, Débora2023-11-26T00:17:45Zoai:ojs.bjopm.org.br:article/1406Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-11-26T00:17:45Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturing |
title |
Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturing |
spellingShingle |
Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturing Bonetti, Sérgio de Andrade Cement industry Statistical process control Continuous improvement DMAIC Six Sigma Logistics |
title_short |
Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturing |
title_full |
Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturing |
title_fullStr |
Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturing |
title_full_unstemmed |
Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturing |
title_sort |
Using DMAIC for in-plant logistic activities improvement: an industrial case study in cement manufacturing |
author |
Bonetti, Sérgio de Andrade |
author_facet |
Bonetti, Sérgio de Andrade Bueno, Adauto Silva, Rodolfo Benedito Zattar da Paredes, Fernando José Gómez Bianco, Débora |
author_role |
author |
author2 |
Bueno, Adauto Silva, Rodolfo Benedito Zattar da Paredes, Fernando José Gómez Bianco, Débora |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Bonetti, Sérgio de Andrade Bueno, Adauto Silva, Rodolfo Benedito Zattar da Paredes, Fernando José Gómez Bianco, Débora |
dc.subject.por.fl_str_mv |
Cement industry Statistical process control Continuous improvement DMAIC Six Sigma Logistics |
topic |
Cement industry Statistical process control Continuous improvement DMAIC Six Sigma Logistics |
description |
Goal: In-plant logistics activities are important for increasing the performance of the supply chains, so our research aims to study the application of Six Sigma tools for in-plant logistics activities in the cement industry. Our research contributes to the literature by developing a real case study that provides insights into the practical implementation of continuous improvement programs. Design / Methodology / Approach: This study uses the Industrial Case Study in a large cement plant, a branch of a multinational business group, in Brazil’s Middle-west region. This research applies Define, Measure, Analyze, Improve, Control (DMAIC) guidelines with Statistical Process Control tools for solving a real problem for out-control processes. From this, we propose an improvement plan to correct flaws in the in-plant cement loading and unloading process (in-plant logistics). Results: The results suggest that based on the control chart, the studied in-plant logistics activities were out of control. These processes exhibit a high variability, between 3σ and 5σ, presenting 26 problems with causes related to machine, measure, and human resources. An out-control action plan was proposed aiming for improvements to solve these problems. Limitations of the investigation: On the out-control action plan, this study presents an improvement proposal. The action plan does not fully develop the control step for DMAIC. Practical implications: Managers in the cement industry can use our case for insights and learning about improvement programs, especially for the in-plant logistics activities addressing processing-based manufacturing environments. Originality / Value: Our research contributes a real case study that applies the DMAIC methodology, with a specific focus on in-plant logistics activities. By developing the application of improvement programs within the cement industry, our study offers practical insights into how processing industries can effectively implement such programs. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-25 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Case study |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/1406 10.14488/BJOPM.1406.2023 |
url |
https://bjopm.org.br/bjopm/article/view/1406 |
identifier_str_mv |
10.14488/BJOPM.1406.2023 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/1406/1060 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 20 No. 4 (2023); 1406 2237-8960 reponame:Brazilian Journal of Operations & Production Management (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 |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051459442835456 |