Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
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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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 |