Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach

Detalhes bibliográficos
Autor(a) principal: Ikeziri, Lucas Martins [UNESP]
Data de Publicação: 2021
Outros Autores: de Souza, Fernando Bernardi [UNESP], da Silva Meyer, Andréia [UNESP], Gupta, Mahesh C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1080/23302674.2021.1981480
http://hdl.handle.net/11449/222544
Resumo: Inventory management in supply chains faces several typical problems, such as low turnover, high inventory investments, lost sales due to a stockout of certain items and surpluses of these same items in other locations. In this context, this research aims to evaluate the effectiveness of the Dynamic Buffer Management (DBM) method to protect the availability of products for immediate fulfilment in an environment that adopts the Theory of Constraints (TOC) pull distribution and replenishment solution. DBM algorithms and parameters were modelled and simulated in ProModel software in scenarios whose demand behaviour–here represented by a retail link – has two levels of coefficient of variation. Service level, inventory in the system, and inventory turnover are used as performance measures. The results indicate that disabling DBM and maintaining a reasonable target level in the system inhibit undue adjustments and ensure the best performance in scenarios with demand without trends. However, given the uncertainties about real demand behaviour, the activation of DBM for some treatments allows good results and may help managers to identify changes in the demand pattern.
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spelling Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approachforecastingmake to availabilitypull replenishmentsimplified drum-buffer-ropeSupply chain managementvendor managed inventoryInventory management in supply chains faces several typical problems, such as low turnover, high inventory investments, lost sales due to a stockout of certain items and surpluses of these same items in other locations. In this context, this research aims to evaluate the effectiveness of the Dynamic Buffer Management (DBM) method to protect the availability of products for immediate fulfilment in an environment that adopts the Theory of Constraints (TOC) pull distribution and replenishment solution. DBM algorithms and parameters were modelled and simulated in ProModel software in scenarios whose demand behaviour–here represented by a retail link – has two levels of coefficient of variation. Service level, inventory in the system, and inventory turnover are used as performance measures. The results indicate that disabling DBM and maintaining a reasonable target level in the system inhibit undue adjustments and ensure the best performance in scenarios with demand without trends. However, given the uncertainties about real demand behaviour, the activation of DBM for some treatments allows good results and may help managers to identify changes in the demand pattern.Production Engineering Department Sao Paulo State UniversityCentro Universitário Sagrado Coração–UNISAGRADO Área de Ciências Exatas e AplicadasDepartment of Management University of Louisville College of Business and Public AdministrationProduction Engineering Department Sao Paulo State UniversityUniversidade Estadual Paulista (UNESP)Área de Ciências Exatas e AplicadasCollege of Business and Public AdministrationIkeziri, Lucas Martins [UNESP]de Souza, Fernando Bernardi [UNESP]da Silva Meyer, Andréia [UNESP]Gupta, Mahesh C.2022-04-28T19:45:21Z2022-04-28T19:45:21Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1080/23302674.2021.1981480International Journal of Systems Science: Operations and Logistics.2330-26822330-2674http://hdl.handle.net/11449/22254410.1080/23302674.2021.19814802-s2.0-85116153838Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Systems Science: Operations and Logisticsinfo:eu-repo/semantics/openAccess2022-04-28T19:45:21Zoai:repositorio.unesp.br:11449/222544Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:49:47.377650Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach
title Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach
spellingShingle Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach
Ikeziri, Lucas Martins [UNESP]
forecasting
make to availability
pull replenishment
simplified drum-buffer-rope
Supply chain management
vendor managed inventory
title_short Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach
title_full Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach
title_fullStr Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach
title_full_unstemmed Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach
title_sort Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach
author Ikeziri, Lucas Martins [UNESP]
author_facet Ikeziri, Lucas Martins [UNESP]
de Souza, Fernando Bernardi [UNESP]
da Silva Meyer, Andréia [UNESP]
Gupta, Mahesh C.
author_role author
author2 de Souza, Fernando Bernardi [UNESP]
da Silva Meyer, Andréia [UNESP]
Gupta, Mahesh C.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Área de Ciências Exatas e Aplicadas
College of Business and Public Administration
dc.contributor.author.fl_str_mv Ikeziri, Lucas Martins [UNESP]
de Souza, Fernando Bernardi [UNESP]
da Silva Meyer, Andréia [UNESP]
Gupta, Mahesh C.
dc.subject.por.fl_str_mv forecasting
make to availability
pull replenishment
simplified drum-buffer-rope
Supply chain management
vendor managed inventory
topic forecasting
make to availability
pull replenishment
simplified drum-buffer-rope
Supply chain management
vendor managed inventory
description Inventory management in supply chains faces several typical problems, such as low turnover, high inventory investments, lost sales due to a stockout of certain items and surpluses of these same items in other locations. In this context, this research aims to evaluate the effectiveness of the Dynamic Buffer Management (DBM) method to protect the availability of products for immediate fulfilment in an environment that adopts the Theory of Constraints (TOC) pull distribution and replenishment solution. DBM algorithms and parameters were modelled and simulated in ProModel software in scenarios whose demand behaviour–here represented by a retail link – has two levels of coefficient of variation. Service level, inventory in the system, and inventory turnover are used as performance measures. The results indicate that disabling DBM and maintaining a reasonable target level in the system inhibit undue adjustments and ensure the best performance in scenarios with demand without trends. However, given the uncertainties about real demand behaviour, the activation of DBM for some treatments allows good results and may help managers to identify changes in the demand pattern.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-04-28T19:45:21Z
2022-04-28T19:45:21Z
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/10.1080/23302674.2021.1981480
International Journal of Systems Science: Operations and Logistics.
2330-2682
2330-2674
http://hdl.handle.net/11449/222544
10.1080/23302674.2021.1981480
2-s2.0-85116153838
url http://dx.doi.org/10.1080/23302674.2021.1981480
http://hdl.handle.net/11449/222544
identifier_str_mv International Journal of Systems Science: Operations and Logistics.
2330-2682
2330-2674
10.1080/23302674.2021.1981480
2-s2.0-85116153838
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Systems Science: Operations and Logistics
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
_version_ 1808128707743711232