Decision support system for route planning: Application in the air conditioning industry

Detalhes bibliográficos
Autor(a) principal: Nascimento, Iara Sofia de Sousa do
Data de Publicação: 2024
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/32662
Resumo: The purpose of this research is the development of a route planning optimization tool at ProgressClim Solutions in order to minimize the time spent on manual route management. The development and testing methodology is based on CRISP-DM, using historical data provided by the company, which allows for a comprehensive comparison of the tool's performance compared to the traditional manual method. The results demonstrate a significant reduction in the time required for daily planning with the tool, leading to enhanced operational efficiency and more optimal resource allocation. Nevertheless, it is essential to acknowledge that in scenarios involving extended planning, the total time required tends to increase. Despite the significant improvements in efficiency and time window management provided by the tool, certain limitations were identified, such as the lack of adaptation to unexpected situations. Future research lines will focus on improving efficiency over longer time periods and the tool's ability to deal with unexpected situations.
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spelling Decision support system for route planning: Application in the air conditioning industryRoute PlanningVRP SolverSistemas de apoio à decisão -- Decision support systemsOperational efficiencyPlaneamento de rotasEficiência operacionalThe purpose of this research is the development of a route planning optimization tool at ProgressClim Solutions in order to minimize the time spent on manual route management. The development and testing methodology is based on CRISP-DM, using historical data provided by the company, which allows for a comprehensive comparison of the tool's performance compared to the traditional manual method. The results demonstrate a significant reduction in the time required for daily planning with the tool, leading to enhanced operational efficiency and more optimal resource allocation. Nevertheless, it is essential to acknowledge that in scenarios involving extended planning, the total time required tends to increase. Despite the significant improvements in efficiency and time window management provided by the tool, certain limitations were identified, such as the lack of adaptation to unexpected situations. Future research lines will focus on improving efficiency over longer time periods and the tool's ability to deal with unexpected situations.O objetivo desta investigação é o desenvolvimento de uma ferramenta de otimização do planeamento de rotas na ProgressClim Solutions, com o intuito de minimizar o tempo despendido na gestão manual de rotas. A metodologia adotada baseia-se no CRISP-DM para o desenvolvimento e testagem, utilizando dados históricos fornecidos pela empresa, o que permite comparar o desempenho da ferramenta com o método manual. Os resultados demonstram uma redução significativa do tempo necessário para o planeamento diário com a ferramenta, o que conduz a uma maior eficiência operacional e a uma melhor afetação de recursos. No entanto, é essencial reconhecer que, em cenários que envolvem um planeamento alargado, o tempo total necessário tende a aumentar. Apesar das melhorias significativas na eficiência e na gestão da janela temporal proporcionadas pela ferramenta, são identificadas algumas limitações, como a ausência de adaptação em situações inesperadas e a necessidade de otimizar o tempo total necessário para planear rotas para grandes volumes de dados. Pretende-se em trabalhos futuros de investigação melhorar a eficiência em períodos de tempo mais longos e na capacidade da ferramenta para lidar com situações inesperadas.2024-11-25T14:47:54Z2024-10-21T00:00:00Z2024-10-212024-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/32662TID:203713192porNascimento, Iara Sofia de Sousa doinfo: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:RCAAP2024-12-01T01:16:39Zoai:repositorio.iscte-iul.pt:10071/32662Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-12-01T01:16:39Repositório 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 Decision support system for route planning: Application in the air conditioning industry
title Decision support system for route planning: Application in the air conditioning industry
spellingShingle Decision support system for route planning: Application in the air conditioning industry
Nascimento, Iara Sofia de Sousa do
Route Planning
VRP Solver
Sistemas de apoio à decisão -- Decision support systems
Operational efficiency
Planeamento de rotas
Eficiência operacional
title_short Decision support system for route planning: Application in the air conditioning industry
title_full Decision support system for route planning: Application in the air conditioning industry
title_fullStr Decision support system for route planning: Application in the air conditioning industry
title_full_unstemmed Decision support system for route planning: Application in the air conditioning industry
title_sort Decision support system for route planning: Application in the air conditioning industry
author Nascimento, Iara Sofia de Sousa do
author_facet Nascimento, Iara Sofia de Sousa do
author_role author
dc.contributor.author.fl_str_mv Nascimento, Iara Sofia de Sousa do
dc.subject.por.fl_str_mv Route Planning
VRP Solver
Sistemas de apoio à decisão -- Decision support systems
Operational efficiency
Planeamento de rotas
Eficiência operacional
topic Route Planning
VRP Solver
Sistemas de apoio à decisão -- Decision support systems
Operational efficiency
Planeamento de rotas
Eficiência operacional
description The purpose of this research is the development of a route planning optimization tool at ProgressClim Solutions in order to minimize the time spent on manual route management. The development and testing methodology is based on CRISP-DM, using historical data provided by the company, which allows for a comprehensive comparison of the tool's performance compared to the traditional manual method. The results demonstrate a significant reduction in the time required for daily planning with the tool, leading to enhanced operational efficiency and more optimal resource allocation. Nevertheless, it is essential to acknowledge that in scenarios involving extended planning, the total time required tends to increase. Despite the significant improvements in efficiency and time window management provided by the tool, certain limitations were identified, such as the lack of adaptation to unexpected situations. Future research lines will focus on improving efficiency over longer time periods and the tool's ability to deal with unexpected situations.
publishDate 2024
dc.date.none.fl_str_mv 2024-11-25T14:47:54Z
2024-10-21T00:00:00Z
2024-10-21
2024-09
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/10071/32662
TID:203713192
url http://hdl.handle.net/10071/32662
identifier_str_mv TID:203713192
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language por
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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