Distribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic company
| Ano de defesa: | 2022 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | , |
| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | eng |
| Instituição de defesa: |
Não Informado pela instituição
|
| Programa de Pós-Graduação: |
Não Informado pela instituição
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Não Informado pela instituição
|
| Palavras-chave em Português: | |
| Palavras-chave em Inglês: | |
| Link de acesso: | https://hdl.handle.net/10438/32148 |
Resumo: | The wide range of uncertainties occurring in reality on the supply chain makes it extremely difficult to follow the strategic, tactical and operational planning. Transportation often encounters disruptions that prevent them from operating as planned, which affects operating costs and the level of service. To help reduce and manage disruption impacts is to have supply chain robustness and resilience states. Flexible organizations are better able to respond to unexpected events more successfully when compared to their non-flexible counterparts. The flexibility represents the ability to restructure existing capabilities, and assume a different position or configuration to mitigate the magnitude of disruptions. The main purpose of this thesis is to introduce a novel way of measuring travel disruption. The metric compares the level of conformity between travel execution (as-is) and planning. It is validated at a Brazilian logistics company and helps answer whether human feedback increases conformity and reduces future disruption and whether changes in planning have a negative impact on following the plan. The research philosophy is interpretivism with a single case study research strategy. First, primary data are collected through participant observation. Second, a quantitative analysis of the data is performed. The analysis of the metric results made explicit that planning changes does not affect the ability to execute a plan. The execution conformity remains the same regardless of whether or not a plan change occurs, which explains the company's flexibility in adapting to changes. After feedback from the control team to the planning team, future plans were improved and less unconformity to plans were evidenced, so an overall conformity improvement was noted, making clear the importance of the feedback loop to decrease disruptions in planning. |
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Freitas, Gabriela de CarvalhoEscolas::EAESPPignanelli, AlexandreFerreira, FernandoPereira, Susana Carla FariasOliveira, Pedro Tonhozi de2022-06-22T20:07:58Z2022-06-22T20:07:58Z2022https://hdl.handle.net/10438/32148The wide range of uncertainties occurring in reality on the supply chain makes it extremely difficult to follow the strategic, tactical and operational planning. Transportation often encounters disruptions that prevent them from operating as planned, which affects operating costs and the level of service. To help reduce and manage disruption impacts is to have supply chain robustness and resilience states. Flexible organizations are better able to respond to unexpected events more successfully when compared to their non-flexible counterparts. The flexibility represents the ability to restructure existing capabilities, and assume a different position or configuration to mitigate the magnitude of disruptions. The main purpose of this thesis is to introduce a novel way of measuring travel disruption. The metric compares the level of conformity between travel execution (as-is) and planning. It is validated at a Brazilian logistics company and helps answer whether human feedback increases conformity and reduces future disruption and whether changes in planning have a negative impact on following the plan. The research philosophy is interpretivism with a single case study research strategy. First, primary data are collected through participant observation. Second, a quantitative analysis of the data is performed. The analysis of the metric results made explicit that planning changes does not affect the ability to execute a plan. The execution conformity remains the same regardless of whether or not a plan change occurs, which explains the company's flexibility in adapting to changes. After feedback from the control team to the planning team, future plans were improved and less unconformity to plans were evidenced, so an overall conformity improvement was noted, making clear the importance of the feedback loop to decrease disruptions in planning.A ampla gama de incertezas que ocorrem na realidade na cadeia de suprimentos torna extremamente difícil acompanhar o planejamento estratégico, tático e operacional. O transporte de carga geralmente encontra disrupções que os impedem de operar conforme o planejado, o que afeta os custos operacionais e o nível de serviço. Ajudar a reduzir e gerenciar os impactos da disrupção gera estados de robustez e resiliência da cadeia de suprimentos. Organizações flexíveis são mais capazes de responder a eventos inesperados com mais sucesso quando comparadas a suas contrapartes não flexíveis. Ou seja, a flexibilidade representa a capacidade de reestruturar os recursos existentes e assumir uma posição ou configuração diferente para mitigar a magnitude das disrupções. O principal objetivo desta tese é apresentar uma nova maneira de medir as disrupções no planejamento de viagens. A métrica compara o nível de conformidade entre a execução da viagem e o planejamento. Esta é validada em uma empresa de logística brasileira e ajuda a responder se o feedback humano aumenta a conformidade e reduz disrupções futuras e se as mudanças no planejamento têm um impacto negativo no cumprimento do plano. A filosofia de pesquisa interpretativista com uma estratégia de pesquisa de estudo de caso único. Primeiro, os dados primários são coletados por meio da observação participante. Em segundo lugar, é realizada uma análise quantitativa dos dados. A análise dos resultados da métrica deixou explícito que as mudanças de planejamento não afetam a capacidade de executar um plano. A conformidade de execução permanece a mesma independentemente de haver ou não mudança de plano, o que explica a flexibilidade da empresa em se adaptar às mudanças. Após o feedback da equipe de controle para a equipe de planejamento, os planos futuros foram aprimorados e foram evidenciadas menos inconformidades com os planos, portanto, observou-se uma melhoria geral da conformidade, deixando clara a importância do feedback loop para diminuir as disrupções no planejamento.engRobustnessFlexibilitySupply chainPlanningRobustezFlexibilidadeCadeia de suprimentosPlanejamentoAdministração de empresasLogística empresarialResiliência organizacionalAdministração de riscoDesempenhoDistribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic companyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVORIGINALMaster Thesis_ Gabriela Freitas (5).pdfMaster Thesis_ Gabriela Freitas 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|
| dc.title.eng.fl_str_mv |
Distribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic company |
| title |
Distribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic company |
| spellingShingle |
Distribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic company Freitas, Gabriela de Carvalho Robustness Flexibility Supply chain Planning Robustez Flexibilidade Cadeia de suprimentos Planejamento Administração de empresas Logística empresarial Resiliência organizacional Administração de risco Desempenho |
| title_short |
Distribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic company |
| title_full |
Distribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic company |
| title_fullStr |
Distribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic company |
| title_full_unstemmed |
Distribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic company |
| title_sort |
Distribution logistics performance: application of a conformity metric between execution and travel plans in a Brazilian logistic company |
| author |
Freitas, Gabriela de Carvalho |
| author_facet |
Freitas, Gabriela de Carvalho |
| author_role |
author |
| dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EAESP |
| dc.contributor.member.none.fl_str_mv |
Pignanelli, Alexandre Ferreira, Fernando |
| dc.contributor.author.fl_str_mv |
Freitas, Gabriela de Carvalho |
| dc.contributor.advisor1.fl_str_mv |
Pereira, Susana Carla Farias Oliveira, Pedro Tonhozi de |
| contributor_str_mv |
Pereira, Susana Carla Farias Oliveira, Pedro Tonhozi de |
| dc.subject.eng.fl_str_mv |
Robustness Flexibility Supply chain Planning |
| topic |
Robustness Flexibility Supply chain Planning Robustez Flexibilidade Cadeia de suprimentos Planejamento Administração de empresas Logística empresarial Resiliência organizacional Administração de risco Desempenho |
| dc.subject.por.fl_str_mv |
Robustez Flexibilidade Cadeia de suprimentos Planejamento |
| dc.subject.area.por.fl_str_mv |
Administração de empresas |
| dc.subject.bibliodata.por.fl_str_mv |
Logística empresarial Resiliência organizacional Administração de risco Desempenho |
| description |
The wide range of uncertainties occurring in reality on the supply chain makes it extremely difficult to follow the strategic, tactical and operational planning. Transportation often encounters disruptions that prevent them from operating as planned, which affects operating costs and the level of service. To help reduce and manage disruption impacts is to have supply chain robustness and resilience states. Flexible organizations are better able to respond to unexpected events more successfully when compared to their non-flexible counterparts. The flexibility represents the ability to restructure existing capabilities, and assume a different position or configuration to mitigate the magnitude of disruptions. The main purpose of this thesis is to introduce a novel way of measuring travel disruption. The metric compares the level of conformity between travel execution (as-is) and planning. It is validated at a Brazilian logistics company and helps answer whether human feedback increases conformity and reduces future disruption and whether changes in planning have a negative impact on following the plan. The research philosophy is interpretivism with a single case study research strategy. First, primary data are collected through participant observation. Second, a quantitative analysis of the data is performed. The analysis of the metric results made explicit that planning changes does not affect the ability to execute a plan. The execution conformity remains the same regardless of whether or not a plan change occurs, which explains the company's flexibility in adapting to changes. After feedback from the control team to the planning team, future plans were improved and less unconformity to plans were evidenced, so an overall conformity improvement was noted, making clear the importance of the feedback loop to decrease disruptions in planning. |
| publishDate |
2022 |
| dc.date.accessioned.fl_str_mv |
2022-06-22T20:07:58Z |
| dc.date.available.fl_str_mv |
2022-06-22T20:07:58Z |
| dc.date.issued.fl_str_mv |
2022 |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
| format |
masterThesis |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10438/32148 |
| url |
https://hdl.handle.net/10438/32148 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
| dc.source.none.fl_str_mv |
reponame:Repositório Institucional do FGV (FGV Repositório Digital) instname:Fundação Getulio Vargas (FGV) instacron:FGV |
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Fundação Getulio Vargas (FGV) |
| instacron_str |
FGV |
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FGV |
| reponame_str |
Repositório Institucional do FGV (FGV Repositório Digital) |
| collection |
Repositório Institucional do FGV (FGV Repositório Digital) |
| bitstream.url.fl_str_mv |
https://repositorio.fgv.br/bitstreams/a735e7c0-1b60-4fdc-83b5-528501414ee2/download https://repositorio.fgv.br/bitstreams/5d071f2d-6f2f-4e19-8117-623a845521db/download https://repositorio.fgv.br/bitstreams/0aba176b-6e68-4ec1-913f-72c2ac7a95ec/download https://repositorio.fgv.br/bitstreams/7b1bd270-e946-4e54-9436-f3fd9754449c/download |
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| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV) |
| repository.mail.fl_str_mv |
|
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1827842425186418688 |