Last-mile delivery in favelas: an explanatory study with Brazilian Companies
Main Author: | |
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Publication Date: | 2017 |
Format: | Master thesis |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/27423 |
Summary: | In urban logistics, the last-mile delivery from warehouse to the consumer's home has become more and more challenging with the continuous growth of urbanization, particularly in developing countries when addressing the logistical difficulties of distributing products in low-income population. This work presents an approach how companies distribute products within brazilian Favelas. Delivering products in these scenarios are not an easy task, high concentration of households without formal urbanization imposes hurdles to find and access to specific location added to the high number of cargo stolen, leads to lot of obstacles in this last mile operations. The company’s strategies are found by matching product type with Favela type in quadrants in the Conditions Decision Matrix. The results showed an emergent proposed model from data based on theory that helps to understand the last-mile delivery in Favelas having the risk as the moderator factor of logistics performance. The paper highlights that companies do not change information, practices neither synergies between their distribution models as well as do not relate to communities in, for example, social actions, in the vast majority of cases. It concludes by mapping the practical strategies applicable for the companies in the last-mile |
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Last-mile delivery in favelas: an explanatory study with Brazilian CompaniesLast-mile deliveryFavelasMapping strategiesRisk.Domínio/Área Científica::Ciências Sociais::Economia e GestãoIn urban logistics, the last-mile delivery from warehouse to the consumer's home has become more and more challenging with the continuous growth of urbanization, particularly in developing countries when addressing the logistical difficulties of distributing products in low-income population. This work presents an approach how companies distribute products within brazilian Favelas. Delivering products in these scenarios are not an easy task, high concentration of households without formal urbanization imposes hurdles to find and access to specific location added to the high number of cargo stolen, leads to lot of obstacles in this last mile operations. The company’s strategies are found by matching product type with Favela type in quadrants in the Conditions Decision Matrix. The results showed an emergent proposed model from data based on theory that helps to understand the last-mile delivery in Favelas having the risk as the moderator factor of logistics performance. The paper highlights that companies do not change information, practices neither synergies between their distribution models as well as do not relate to communities in, for example, social actions, in the vast majority of cases. It concludes by mapping the practical strategies applicable for the companies in the last-mileCarvalho, José Crespo deDuarte, AndréRUNSilva, Cristiano Flores e2018-09-20T00:30:32Z2017-09-202017-09-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/27423TID:201752999enginfo:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:29:21Zoai:run.unl.pt:10362/27423Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:00:29.706961Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Last-mile delivery in favelas: an explanatory study with Brazilian Companies |
title |
Last-mile delivery in favelas: an explanatory study with Brazilian Companies |
spellingShingle |
Last-mile delivery in favelas: an explanatory study with Brazilian Companies Silva, Cristiano Flores e Last-mile delivery Favelas Mapping strategies Risk. Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Last-mile delivery in favelas: an explanatory study with Brazilian Companies |
title_full |
Last-mile delivery in favelas: an explanatory study with Brazilian Companies |
title_fullStr |
Last-mile delivery in favelas: an explanatory study with Brazilian Companies |
title_full_unstemmed |
Last-mile delivery in favelas: an explanatory study with Brazilian Companies |
title_sort |
Last-mile delivery in favelas: an explanatory study with Brazilian Companies |
author |
Silva, Cristiano Flores e |
author_facet |
Silva, Cristiano Flores e |
author_role |
author |
dc.contributor.none.fl_str_mv |
Carvalho, José Crespo de Duarte, André RUN |
dc.contributor.author.fl_str_mv |
Silva, Cristiano Flores e |
dc.subject.por.fl_str_mv |
Last-mile delivery Favelas Mapping strategies Risk. Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Last-mile delivery Favelas Mapping strategies Risk. Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
In urban logistics, the last-mile delivery from warehouse to the consumer's home has become more and more challenging with the continuous growth of urbanization, particularly in developing countries when addressing the logistical difficulties of distributing products in low-income population. This work presents an approach how companies distribute products within brazilian Favelas. Delivering products in these scenarios are not an easy task, high concentration of households without formal urbanization imposes hurdles to find and access to specific location added to the high number of cargo stolen, leads to lot of obstacles in this last mile operations. The company’s strategies are found by matching product type with Favela type in quadrants in the Conditions Decision Matrix. The results showed an emergent proposed model from data based on theory that helps to understand the last-mile delivery in Favelas having the risk as the moderator factor of logistics performance. The paper highlights that companies do not change information, practices neither synergies between their distribution models as well as do not relate to communities in, for example, social actions, in the vast majority of cases. It concludes by mapping the practical strategies applicable for the companies in the last-mile |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-20 2017-09-20T00:00:00Z 2018-09-20T00:30:32Z |
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 |
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http://hdl.handle.net/10362/27423 TID:201752999 |
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http://hdl.handle.net/10362/27423 |
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TID:201752999 |
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eng |
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eng |
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