Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processes

Detalhes bibliográficos
Autor(a) principal: da Silva, Aneirson Francisco [UNESP]
Data de Publicação: 2020
Outros Autores: Marins, Fernando Augusto Silva [UNESP], Dias, Erica Ximenes [UNESP], Ushizima, Carlos Alberto [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1080/09537287.2020.1713413
http://hdl.handle.net/11449/199983
Resumo: The Green & Lean Manufacturing organisational strategy emphasises waste and environmental impact reduction, efficiency increase, quality improvement, and cycle time reduction by eliminating non-value-added activities. Usually, companies adopt the Manufacturing Cycle Efficiency indicator to identify and make improvements to meet Lean Manufacturing requirements. This work proposes an innovative approach based on Multiple Criteria Data Envelopment Analysis to calculate a new indicator, hereby called Value-Added Activities in Manufacturing Processes, to measure the efficiency of productive processes through Green Manufacturing concepts. This new indicator was applied in a company with the purpose of validating and testing it. The Levene’s test was used to statistically validate the proposed procedure. As an immediate advantage of this new indicator, it was possible for managers to insert more information, such as incorporating aspects associated with Green Manufacturing, in the calculation of the Manufacturing Cycle Efficiency, making it more consistent and representative of what is happening in practice. Among this additional piece of information on the real processes analysed, it is worth mentioning, for example, the volume of scrap generated, the amount of sales invoicing, the quantity of work in process, and the quantity of finished products in stock. Specialists in Green & Lean Manufacturing, managers of the studied company, validated the results of the new indicator because they observed greater adherence to the practice of these new calculated values, when compared to the traditionally adopted calculations. Also highlighted, are other advantages of the new indicator such as the establishment of an efficiency ranking between the productive processes analysed and the determination of feasible goals to turn processes identified as inefficient into efficient ones.
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spelling Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processesGreen manufacturinglean manufacturingmanufacturing cycle efficiencymultiple criteria data envelopment analysissimulationvalue- added activitiesThe Green & Lean Manufacturing organisational strategy emphasises waste and environmental impact reduction, efficiency increase, quality improvement, and cycle time reduction by eliminating non-value-added activities. Usually, companies adopt the Manufacturing Cycle Efficiency indicator to identify and make improvements to meet Lean Manufacturing requirements. This work proposes an innovative approach based on Multiple Criteria Data Envelopment Analysis to calculate a new indicator, hereby called Value-Added Activities in Manufacturing Processes, to measure the efficiency of productive processes through Green Manufacturing concepts. This new indicator was applied in a company with the purpose of validating and testing it. The Levene’s test was used to statistically validate the proposed procedure. As an immediate advantage of this new indicator, it was possible for managers to insert more information, such as incorporating aspects associated with Green Manufacturing, in the calculation of the Manufacturing Cycle Efficiency, making it more consistent and representative of what is happening in practice. Among this additional piece of information on the real processes analysed, it is worth mentioning, for example, the volume of scrap generated, the amount of sales invoicing, the quantity of work in process, and the quantity of finished products in stock. Specialists in Green & Lean Manufacturing, managers of the studied company, validated the results of the new indicator because they observed greater adherence to the practice of these new calculated values, when compared to the traditionally adopted calculations. Also highlighted, are other advantages of the new indicator such as the establishment of an efficiency ranking between the productive processes analysed and the determination of feasible goals to turn processes identified as inefficient into efficient ones.Department of Production São Paulo State University-UNESP-FEGDepartment of Production São Paulo State University-UNESP-FEGUniversidade Estadual Paulista (Unesp)da Silva, Aneirson Francisco [UNESP]Marins, Fernando Augusto Silva [UNESP]Dias, Erica Ximenes [UNESP]Ushizima, Carlos Alberto [UNESP]2020-12-12T01:54:27Z2020-12-12T01:54:27Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1080/09537287.2020.1713413Production Planning and Control.1366-58710953-7287http://hdl.handle.net/11449/19998310.1080/09537287.2020.17134132-s2.0-85078305300Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProduction Planning and Controlinfo:eu-repo/semantics/openAccess2024-07-02T17:37:19Zoai:repositorio.unesp.br:11449/199983Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:07:14.316805Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processes
title Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processes
spellingShingle Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processes
da Silva, Aneirson Francisco [UNESP]
Green manufacturing
lean manufacturing
manufacturing cycle efficiency
multiple criteria data envelopment analysis
simulation
value- added activities
title_short Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processes
title_full Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processes
title_fullStr Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processes
title_full_unstemmed Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processes
title_sort Improving manufacturing cycle efficiency through new multiple criteria data envelopment analysis models: an application in green and lean manufacturing processes
author da Silva, Aneirson Francisco [UNESP]
author_facet da Silva, Aneirson Francisco [UNESP]
Marins, Fernando Augusto Silva [UNESP]
Dias, Erica Ximenes [UNESP]
Ushizima, Carlos Alberto [UNESP]
author_role author
author2 Marins, Fernando Augusto Silva [UNESP]
Dias, Erica Ximenes [UNESP]
Ushizima, Carlos Alberto [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv da Silva, Aneirson Francisco [UNESP]
Marins, Fernando Augusto Silva [UNESP]
Dias, Erica Ximenes [UNESP]
Ushizima, Carlos Alberto [UNESP]
dc.subject.por.fl_str_mv Green manufacturing
lean manufacturing
manufacturing cycle efficiency
multiple criteria data envelopment analysis
simulation
value- added activities
topic Green manufacturing
lean manufacturing
manufacturing cycle efficiency
multiple criteria data envelopment analysis
simulation
value- added activities
description The Green & Lean Manufacturing organisational strategy emphasises waste and environmental impact reduction, efficiency increase, quality improvement, and cycle time reduction by eliminating non-value-added activities. Usually, companies adopt the Manufacturing Cycle Efficiency indicator to identify and make improvements to meet Lean Manufacturing requirements. This work proposes an innovative approach based on Multiple Criteria Data Envelopment Analysis to calculate a new indicator, hereby called Value-Added Activities in Manufacturing Processes, to measure the efficiency of productive processes through Green Manufacturing concepts. This new indicator was applied in a company with the purpose of validating and testing it. The Levene’s test was used to statistically validate the proposed procedure. As an immediate advantage of this new indicator, it was possible for managers to insert more information, such as incorporating aspects associated with Green Manufacturing, in the calculation of the Manufacturing Cycle Efficiency, making it more consistent and representative of what is happening in practice. Among this additional piece of information on the real processes analysed, it is worth mentioning, for example, the volume of scrap generated, the amount of sales invoicing, the quantity of work in process, and the quantity of finished products in stock. Specialists in Green & Lean Manufacturing, managers of the studied company, validated the results of the new indicator because they observed greater adherence to the practice of these new calculated values, when compared to the traditionally adopted calculations. Also highlighted, are other advantages of the new indicator such as the establishment of an efficiency ranking between the productive processes analysed and the determination of feasible goals to turn processes identified as inefficient into efficient ones.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T01:54:27Z
2020-12-12T01:54:27Z
2020-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1080/09537287.2020.1713413
Production Planning and Control.
1366-5871
0953-7287
http://hdl.handle.net/11449/199983
10.1080/09537287.2020.1713413
2-s2.0-85078305300
url http://dx.doi.org/10.1080/09537287.2020.1713413
http://hdl.handle.net/11449/199983
identifier_str_mv Production Planning and Control.
1366-5871
0953-7287
10.1080/09537287.2020.1713413
2-s2.0-85078305300
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Production Planning and Control
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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