Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring

Detalhes bibliográficos
Autor(a) principal: Oliveira, João Pedro Cabeleira Claro de
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/134985
Resumo: Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation MonitoringSmart CitySmart EnvironmentBusiness IntelligenceSolid Waste ManagementWaste CollectionProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe need to answer ever-increasing urban challenges and the integration of new technologies in every aspect of our daily lives prompt the creation of the Smart City concept. These new technologies gather an enormous quantity of data that reveals interesting patterns about cities, enabling opportunities to enhance public decision-making and problem-solving. One critical aspect of urban life is its relationship with the environment. There’s a real need to work on a unified global approach on how to tackle issues such as pollution and waste management, but there is not a single framework or guideline to handle these new data gathered. This work focuses on structuring a framework of analysis for waste collection and transportation purposes. The objective was to develop monitoring dashboards for Departamento de Higienização Urbana (DMHU), using proven metrics of efficiency and effectiveness, result of a comprehensive literature review. A BI framework was developed using Power BI to perform efficiency-based analysis of waste collection circuits – the main process of DMHU. The receptivity of DMHU towards the solution presented seems to indicate that a BI solution is indeed valuable for complex monitoring problems such as solid waste management.Neto, Miguel de Castro Simões FerreiraRUNOliveira, João Pedro Cabeleira Claro de2022-03-22T16:07:48Z2022-02-032022-02-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/134985TID:202969690enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:13:24Zoai:run.unl.pt:10362/134985Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:16.746487Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring
title Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring
spellingShingle Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring
Oliveira, João Pedro Cabeleira Claro de
Smart City
Smart Environment
Business Intelligence
Solid Waste Management
Waste Collection
title_short Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring
title_full Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring
title_fullStr Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring
title_full_unstemmed Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring
title_sort Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring
author Oliveira, João Pedro Cabeleira Claro de
author_facet Oliveira, João Pedro Cabeleira Claro de
author_role author
dc.contributor.none.fl_str_mv Neto, Miguel de Castro Simões Ferreira
RUN
dc.contributor.author.fl_str_mv Oliveira, João Pedro Cabeleira Claro de
dc.subject.por.fl_str_mv Smart City
Smart Environment
Business Intelligence
Solid Waste Management
Waste Collection
topic Smart City
Smart Environment
Business Intelligence
Solid Waste Management
Waste Collection
description Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2022
dc.date.none.fl_str_mv 2022-03-22T16:07:48Z
2022-02-03
2022-02-03T00:00:00Z
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 http://hdl.handle.net/10362/134985
TID:202969690
url http://hdl.handle.net/10362/134985
identifier_str_mv TID:202969690
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
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repository.mail.fl_str_mv
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